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Articles about dynamics of networks
Tutorial / review articles
- David N. Fisher, Amiyaal Ilany, Matthew J. Silk and Tom Tregenza (2017).
Analysing animal social network dynamics: the potential of stochastic actor-oriented models.
Journal of Animal Ecology, 86, 202-212.
DOI:
https://dx.doi.org/10.1111/1365-2656.12630.
- Yuval Kalish (2020).
Stochastic Actor-Oriented Models for the Co-Evolution of Networks and Behavior:
An Introduction and Tutorial.
Organizational Research Methods, 23, 511-534.
DOI:
https://dx.doi.org/10.1177/1094428118825300
- Tom A.B. Snijders, Gerhard G. van de Bunt, and Christian E.G. Steglich (2010).
Introduction to actor-based models for network dynamics.
Social Networks, 32, 44-60.
DOI:
https://dx.doi.org/10.1016/j.socnet.2009.02.004
- Ralf Wölfer, Nadira S. Faber, and Miles Hewstone (2015).
Social network analysis in the science of groups:
Cross-sectional and longitudinal applications for studying intra-and intergroup behavior.
Group Dynamics: Theory, Research, and Practice, 19, 45-61.
DOI:
https://dx.doi.org/10.1037/gdn0000021
Research articles
- Rick Aalbers and Rongkang Ma (2023).
The Roles of Supply Networks and Board Interlocks
in Firms' Technological Entry and Exit: Evidence from the Chinese Automotive Industry.
Management and Organization Review, 19, 279-315.
DOI:
https://dx.doi.org/10.1017/mor.2023.5.
- Filip Agneessens and Rafael Wittek, (2012),
Where do intra-organizational advice relations come from?
The role of informal status and social capital in social exchange.
Social Networks, 34, 333-345.
DOI:
https://dx.doi.org/10.1016/j.socnet.2011.04.002.
- Kate Rose Albrecht (2019).
Understanding network evolution.
Chapter 3 (pp. 63-106) in K. R. Albrecht,
Understanding network evolution: Comparing and integrating phenomenological, configurational,
and main effect methodologies.
PhD dissertation, Department of Public Administration, North Carolina State University,
Raleigh, North Carolina, United States of America.
- Andrew, Simon,
Institutional Ties, Interlocal Contractual Arrangements,
and the Dynamic of Metropolitan Governance.
PhD thesis, Florida State University (2006).
- Andrew, Simon,
Regional integration through contracting networks.
An empirical analysis of institutional collection action framework.
Urban Affairs Review 44 (2009), 378-402.
-
Brian Aronson (2016).
Peer influence as a potential magnifier of ADHD diagnosis.
Social Science and Medicine, 168, 111-119.
DOI:
https://dx.doi.org/10.1016/j.socscimed.2016.09.010
- Gilda Antonelli and Raffaele Corrado (2014).
Effects of social networks managing on working career.
European Scientific Journal, February 2014, Special edition vol.1.
- Amirhosein 'Emerson' Azarbakht (2017).
Longitudinal Analysis of Collaboration in Forked Open Source
Software Development Projects.
PhD dissertation, Oregon State University.
https://ir.library.oregonstate.edu/downloads/n870zw357
- Chris Baerveldt, Gerhard G. van de Bunt, Ainhoa de Federico (2010).
Why and how selection patterns in classroom networks differ between students.
The potential influence of networks size preferences, level of information, and group membership.
REDES Vol. 19, p. 272-300.
This is not an empirical application, but a theoretical study relevant to model selection.
Also available in Spanish; see below.
- Chris Baerveldt, Gerhard G. van de Bunt, and Marjolijn M. Vermande (2014).
Selection patterns, gender and
friendship aim in classroom networks.
Zeitschrift für Erziehungswissenschaft 17.5, 171-188.
DOI:
https://dx.doi.org/10.1007/s11618-014-0546-x.
- Pierre-Alexandre Balland (2012).
Proximity and the Evolution of Collaboration Networks: Evidence from
Research and Development Projects within the Global Navigation Satellite
System (GNSS) Industry.
Regional Studies, 46, 741-756.
DOI:
https://dx.doi.org/10.1080/00343404.2010.529121.
- Pierre-Alexandre Balland, José Antonio Belso-Martínez
and Andrea Morrison (2015).
The dynamics of technical and business knowledge networks in industrial clusters:
embeddedness, status or proximity?
Economic Geography, 92, 35-60.
DOI:
https://dx.doi.org/10.1080/00130095.2015.1094370.
- Pierre-Alexandre Balland, Mathijs De Vaan, and Ron Boschma (2013).
The dynamics of interfirm networks along the industry life cycle:
The case of the global video game industry, 1987-2007.
Journal of Economic Geography 13, 741-765.
DOI:
https://dx.doi.org/0.1093/jeg/lbs023.
- Ramiro Berardo (2014).
The evolution of self-organizing communication networks in high-risk
social-ecological systems.
International Journal of the Commons, [S.l.], feb. 2014.
ISSN 1875-0281.
Available at:
https://www.thecommonsjournal.org/index.php/ijc/article/view/463/382.
- Ramiro Berardo (2016).
The Evolution of the Complex Governance of Common-Pool Resources in
the Presence of Environmental Focusing Events.
https://www.ramiroberardo.net/uploads/6/0/5/3/60538339/paperberardo.pdf
- Kimberly D. Bess (2015).
Reframing Coalitions as Systems Interventions: A Network Study Exploring the
Contribution of a Youth Violence Prevention Coalition to Broader System Capacity.
American Journal of Community Psychology, 55, 381-395.
DOI:
https://dx.doi.org/10.1007/s10464-015-9715-1.
- Prasanta Bhattacharya, Tuan Phan, and Edoardo Airoldi (2015).
Investigating the Impact of Network Effects on Content Generation:
Evidence from a Large Online Student Network.
https://arxiv.org/ftp/arxiv/papers/1512/1512.06469.pdf
- Prasanta Bhattacharya, Tuan Phan, Xue Bai, and Edoardo Airoldi (2019).
A coevolution model of network structure and user behavior:
The case of content generation in online social networks.
Information Systems Research, 30, 117-132.
DOI:
https://doi.org/10.1287/isre.2018.0790.
- Federico Bianchi (2016).
The Social from the Economic: The Emergence of Solidarity within Networks
of Economic Exchange.
PhD dissertation, Programme in
Economic Sociology and Labour Studies (ESLS),
Università degli Studi di Brescia, Università degli Studi di Milano,
and Università degli Studi del Piemonte Orientale "Amedeo Avogadro".
https://air.unimi.it/retrieve/handle/2434/491473/823690/phd_unimi_R10613.pdf
- Gisela Bichler and Juan Franquez (2014).
Conflict Cessation and the Emergence of Weapons Supermarkets.
In Anthony J. Masys (ed.),
Networks and Network Analysis for Defence and Security,
p. 189-215.
- Per Block (2015).
Reciprocity, transitivity, and the mysterious three-cycle.
Social Networks, 40, 163-173.
DOI:
https://dx.doi.org/doi:10.1016/j.socnet.2014.10.005
- Per Block (2018).
Network Evolution and Social Situations.
Sociological Science , 45, 402-431.
DOI:
https://dx.doi.org/doi:10.15195/v5.a18
-
Per Block and Thomas Grund (2014). Multidimensional homophily in friendship networks.
Network Science, 2, 189-212.
DOI:
https://dx.doi.org/10.1017/nws.2014.17
- Zsófia Boda, Timon Elmer, András Vörös and Christoph Stadtfeld (2020).
Short-term and long-term effects of a social network intervention on friendships among university students.
Scientific Reports, 10.
DOI:
https://doi.org/10.1038/s41598-020-59594-z
- Christèle Borgeaud, Sebastian Sosa, Cédric Sueur, Redouan Bshary, and Erica van de Waal (2016).
Intergroup Variation of Social Relationships in Wild Vervet Monkeys: A Dynamic Network Approach.
Frontiers in Psychology, 7, 915.
DOI:
https://dx.doi.org/10.3389/fpsyg.2016.00915
- Smaranda Boros and Lore Van Gorp (2017).
Networks in professional groups: a matter of connection or self-exile?
Team Performance Management: An International Journal, 23, 318-332.
DOI:
https://doi.org/10.1108/TPM-10-2016-0044
- Smaranda Boroş, Lore van Gorp and Michael Boiger (2019).
When holding in prevents from reaching out: Emotion suppression and social support-seeking in multicultural groups.
frontiers in Psychology, 10.
DOI:
https://doi.org/10.3389/fpsyg.2019.02431
- Boschma, R., P.A. Balland and M. De Vaan (2014).
The formation of economic networks: A proximity approach.
In: A. Torre and F. Wallet (eds.)
Regional development and proximity relations. Cheltenham: Edward Elgar.
- Boschma, Ron, Pierre-Alexandre Balland, and Dieter Kogler (2015).
The geography of inter-firm knowledge spillovers in bio-tech.
P. 147-169 in
The Economics of Knowledge, Innovation and Systemic Technology Policy ,
Edited by Francesco Crespi and Francesco Quatraro.
-
Bossaert, Goele, and Nadine Meidert (2013).
'We are only as strong as we are united, as weak as we are divided'.
A dynamic analysis of the peer support networks in the Harry Potter books.
Open Journal of Applied Sciences, Vol. 3 No. 2, pp. 174-185.
DOI: https://dx.doi.org/10.4236/ojapps.2013.32024
- Palmyre H. Boucherie, Sebastian Sosa, Cristian Pasquaretta, and Valerie Dufour (2017).
A longitudinal network analysis of social dynamics in rooks
Corvus frugilegus: repeated group modifications do not affect social network
in captive rooks.
Current Zoology, 63, 379-388.
DOI: https://dx.doi.org/10.1093/cz/zow083
- David Bright, Johan Koskinen and Aili Malm (2018).
Illicit Network Dynamics: The Formation and Evolution of a Drug Traficking Network.
Journal of Quantitative Criminology, 1-22.
DOI:
https://doi.org/10.1007/s10940-018-9379-8
- Katherine W. Bromley (2019).
Friendship tie formation among youth with and without disabilities in high school:
A social network analysis.
Doctoral dissertation
- Jasperina Brouwer, Christopher Downey and Christian Bokhove (2020).
The development of communication networks of pre-service teachers on a school-led and university-led programme of initial teacher education in England.
International Journal of Educational Research, 100.
DOI:
https://doi.org/10.1016/j.ijer.2020.101542
- Jasperina Brouwer, Andreas Flache, Ellen Jansen, Adriaan Hofman and
Christian Steglich (2018).
Emergent achievement segregation in freshmen learning community networks.
Higher Education, 76, 483-500.
DOI:
https://doi.org/10.1007/s10734-017-0221-2
-
Tobias Buchmann and Andreas Pyka (2013).
The evolution of innovation networks: the case of a German automotive network.
Discussion Paper 70-2013, Forschungszentrum Universität Hohenheim.
DOI:
https://www.econstor.eu/dspace/bitstream/10419/71188/1/738555983.pdf
- Tobias Buchmann, Daniel Hain, Muhamed Kudic and Matthias Muller (2014).
Exploring the evolution of innovation networks in science-driven and
scale-intensive industries - New evidence from a stochastic actor-based approach.
IWH Discussion Papers, 1-42.
https://www.econstor.eu/bitstream/10419/90173/1/776115766.pdf
- Alicia C. Bunger, Nathan J. Doogan, and Yiwen Cao (2014).
Building service delivery networks: Partnership evolution among
children's behavioral health agencies in response to new funding.
Journal of the Society for Social Work and Research 5, 513-538.
- Paul Burton (2018).
Material realism: A systems theory of international politics.
Doctoral Dissertation, The University of Southern Mississippi.
https://aquila.usm.edu/cgi/viewcontent.cgi?article=2547&context=dissertations
- Gianluca Carnabuci, Cécile Emery and David Brinberg (2018).
Emergent Leadership Structures in Informal Groups:
A Dynamic, Cognitively Informed Network Model.
Organization Science, 29(1), 118-133.
DOI:
https://doi.org/10.1287/orsc.2017.1171
- José Antonio Sánchez Cetina (2023).
Alone in the Multitude? Central Cities and their Role in Public Services Networks.
Doctoral dissertation, University of Illinois at Chicago.
https://indigo.uic.edu/articles/thesis/Alone_in_the_Multitude_Central_Cities_and_their_Role_in_Public_Services_Networks/24241915
- Hongshu Chen, Xinna Song, Qianqian Jin, and Ximeng Wang (2022).
Network dynamics in university-industry collaboration:
a collaboration-knowledge dual-layer network perspective.
Scientometrics, 127, 6637–6660.
DOI:
https://doi.org/10.1007/s11192-022-04330-9
- Ignacio Castro, Cristóbal Casanueva,
and José Luis Galán (2014).
Dynamic evolution of alliance portfolios.
European Management Journal, 32, 423-433.
DOI:
https://dx.doi.org/10.1016/j.emj.2013.06.006
- Ovidiu C. Cocieru, Matthew Katz and Mark McDonald (2020).
Understanding interactions in a classroom-as-organization using dynamic network analysis.
Journal of Experiental Education, 43, 5-20.
DOI:
https://doi.org/10.1177/1053825919888778
-
J. Benjamin Cook, Philip Schwadel, and Jacob E. Cheadle (2017).
The Origins of Religious Homophily in a Medium and Large School.
Review of Religious Research , 59, 65-80.
DOI:
https://dx.doi.org/10.1007/s13644-016-0266-1
- Jacob E. Cheadle and Philip Schwadel (2012).
The 'friendship dynamics of religion,' or the 'religious dynamics of friendship'?
A social network analysis of adolescents who attend small schools.
Social Science Research, 41, 1198-1212.
DOI:
https://dx.doi.org/10.1016/j.ssresearch.2012.03.014
- Jacob E. Cheadle, Michael Stevens, Deadric T. Williams, and
Bridget J. Goosby (2013).
The differential contributions of teen drinking homophily to new
and existing friendships:
An empirical assessment of assortative and proximity selection mechanisms.
Social Science Research, 42, 1297-1310.
DOI:
https://dx.doi.org/10.1016/j.ssresearch.2013.05.001
- Jacob E. Cheadle, Katrina M. Walsemann, and Bridget J. Goosby (2015).
DOI:
Teen Alcohol Use and Social Networks:
The Contributions of Friend Influence and Friendship Selection.
Journal of Alcoholism and Drug Dependence, 3:224. 3:5.
DOI:
https://dx.doi.org/10.4172/2329-6488.1000224
- Jacob E. Cheadle and Deadric Williams (2013).
The role of drinking in new and existing friendships across high school settings.
Health, 5, 18-25.
DOI:
https://dx.doi.org/10.4236/health.2013.56A3004
- Checkley, Matthew, and Steglich, Christian E.G. (2007).
Partners in power: Job mobility and dynamic deal-making.
European Management Review Vol.4 (2007), 161-171.
- Sujin Choi, Joshua SungWoo Yang, and Wenhong Chen (2018).
Longitudinal Change of an Online Political Discussion Forum: Antecedents of Discussion Network Size and Evolution.
Journal of Computer-Mediated Communication, 23, 260-277.
DOI:
https://doi.org/10.1093/jcmc/zmy013
-
Dimitris Christopoulos and Karin Ingold (2015).
Exceptional or just well connected?
Political entrepreneurs and brokers in policy making.
European Political Science Review, 7, 475-498.
DOI:
https://dx.doi.org/10.1017/S1755773914000277
- Noshir S. Contractor , Robert C. Whitbred , Fabio Fonti, and Christian Steglich
(2012). Understanding the Ties that Bind: A Longitudinal Investigation of the Evolution
of a Communication Network. Western Journal of Communication, 76:4, 333-357.
DOI:
https://dx.doi.org/10.1080/10570314.2012.674172
- Leonardo Corbo, Raffaele Corrado, and Simone Ferriani (2016).
A New Order of Things: Network Mechanisms of Field Evolution
in the Aftermath of an Exogenous Shock.
Organization Studies, 37, 323-348.
DOI:
https://doi.org/10.1177/0170840615613373
(non-directed network)
- Leonardo Corbo, Raffaele Corrado, and Simone Ferriani (2024).
Network pathways of peripheral firm entry: Empirical evidence from the global airline industry.
Research Policy, 53, 104960.
DOI:
https://doi.org/10.1016/j.respol.2024.104960
(non-directed network)
- Germán G. Creamer and Bernardo Creamer (2018).
Emissions abating technology adoption in a coal trading network.
Social Network Analysis and Mining, 8:21.
DOI:
https://doi.org/10.1007/s13278-018-0498-x
- Daniel Cunningham, Sean F. Everton, and Philip J. Murphy (2015).
Casting More Light on Dark Networks:
A Stochastic Actor-Oriented Longitudinal Analysis of the Noordin Top Terrorist Network.
Pp. 171-185 in Illuminating Dark Networks:
The Study of Clandestine Groups and Organizations, edited by L. M. Gerdes.
Cambridge and New York: Cambridge University Press.
- Duy Dang-Pham, Karlheinz Kautz, Siddhi Pittayachawan and Vince Bruno (2017).
Understanding the Formation of Information Security Climate Perceptions:
A Longitudinal Social Network Analysis.
Australasian Conference on Information Systems, 2017.
https://www.acis2017.org/wp-content/uploads/2017/11/ACIS2017_paper_80_FULL.pdf
- Inés de Freslon, J. M. Peralta, Ana C. Strappini and Gustavo Monti (2020).
Understanding allogrooming through a dynamic social network approach: an example in a group of dairy cows.
Frontiers in Veterinary Science, 7.
DOI:
https://doi.org/10.3389/fvets.2020.00535
- Dawn DeLay, Thao Ha, Mark Van Ryzin, Charlotte Winter, and Thomas J. Dishion (2016).
Changing Friend Selection in Middle School: A Social Network Analysis
of a Randomized Intervention Study Designed to Prevent Adolescent Problem Behavior.
Prevention Science, 17, 285-294.
DOI:
https://dx.doi.org/10.1007/s11121-015-0605-4
-
Dawn DeLay, Linlin Zhang, Laura D. Hanish, Cindy F. Miller, Richard A. Fabes,
Carol Lynn Martin, Karin P. Kochel, and Kimberly A. Updegraff (2017).
Peer Influence on Academic Performance: A Social Network Analysis of Social-Emotional
Intervention Effects.
Prevention Science, 8, 903-913.
DOI:
https://dx.doi.org/10.1007/s11121-016-0678-8
- de Nooy, Wouter, The dynamics of artistic prestige.
Poetics, 30 (2002), 147-167.
-
Ellen Delvaux, Loes Meeussen, and Batja Mesquita (2015).
Emotions are not always contagious: Longitudinal spreading of
self-pride and group pride in homogeneous and status-differentiated groups.
Cognition and Emotion, 30, 101-116.
DOI:
https://dx.doi.org/10.1080/02699931.2015.1018143
- Bruce A. Desmarais and Skyler J. Cranmer (2012).
Micro-Level Interpretation of Exponential Random
Graph Models with Application to Estuary Networks.
Policy Studies Journal 40, 402-434.
DOI:
https://dx.doi.org/10.1111/j.1541-0072.2012.00459.x
- Tomás Diviák, Casper S. van Nassau, Jan Kornelis Dijkstra, and Tom A.B. Snijders (2022).
Dynamics and disruption: Structural and individual changes in two Dutch Jihadi networks
after police interventions.
Social Networks, 70, 364-374.
DOI:
https://doi.org/10.1016/j.socnet.2022.04.001
- Fausto Di Vincenzo (2018).
Exploring the networking behaviors of hospital organizations.
BMC Health Services Research, 18:334.
DOI:
https://doi.org/10.1186/s12913-018-3144-4
- Fausto Di Vincenzo, Valentina Evangelista, and Francesca Masciarelli (2014).
Social capital and proximity in regional network dynamics: A mixed-method approach.
DRUID Society Conference 2014
link:
https://druid8.sit.aau.dk/druid/acc_papers/n3711p67ff08t0dge5e7oqts0ftq.pdf
- Jared Romeo Dmello (2019).
Friends, foes, and unknowns: Investigating the dynamics of relationships between
actors in ethnic conflicts.
Ph.D dissertation University of Massachusetts Lowell.
- J.J. Ebbers and N.M. Wijnberg (2010).
Disentangling the effects of reputation and network position on the
evolution of alliance networks.
Strategic Organization, 8 (3), 255-275.
DOI:
https://dx.doi.org/10.1177/1476127010381102
- Achim Edelmann, Stephen Vaisey (2014).
Cultural resources and cultural distinction in networks.
Poetics, 46, 22-37.
DOI:
https://dx.doi.org/10.1016/j.poetic.2014.08.001
- Lina Eklund and Sara Roman (2018).
Digital Gaming and Young People's Friendships:
A Mixed Methods Study of Time Use and Gaming in School.
Computers in Human Behavior, 73, 284-289.
DOI:
https://doi.org/10.1177/1103308818754990
- Jan Ellinger, Filip Mess, Joachim Bachner, Jakob von Au, and Christoph Mall (2023).
Changes in social interaction, social relatedness, and friendships in
Education Outside the Classroom: A social network analysis.
Frontiers in Psychology, 14:1031693.
DOI:
https://doi.org/10.3389/fpsyg.2023.1031693
- José Luis Estévez, Rafael Wittek, Francesca Giardini, Lea Ellwardt, and Robert W. Krause (2022).
Workplace gossip and the evolution of friendship relations: the role of complex contagion.
Social Network Analysis and Mining 12:113 (1-24).
DOI:
https://doi.org/10.1007/s13278-022-00923-7
- Julian C. Evans and Julie Morand-Ferron (2019).
The importance of preferential associations and group cohesion: Constraint or optimality.
Behavioral Ecology and Sociobiology, 73(8).
DOI:
https://doi.org/10.1007/s00265-019-2723-7
- Sean F. Everton (2016).
Social Networks and Religious Violence.
Review of Religious Research, 58, 191-217.
DOI:
https://dx.doi.org/10.1007/s13644-015-0240-3
- Weipeng Fang, Changwei Qin, Dan Zhou, Jian Yin, Zhongmin Lium and Xianjun Guan (2023),
The Impact of Cooperative Behavior between Social Organizations during the COVID-19
Pandemic Outbreak in Shanghai: A Simulation Approach.
International Journal of Environmental Research and Public Health , 20(2):1409.
DOI:
https://doi.org/10.3390/ijerph20021409
- Anuška Ferligoj, Luka Kronegger, Franc Mali, Tom A.B. Snijders, and
Patrick Doreian (2015).
Scientific collaboration dynamics in a national scientific system.
Scientometrics, 104, 985-1012.
DOI:
https://dx.doi.org/10.1007/s11192-015-1585-7
- S. Ferriani, F. Fonti, and R. Corrado (2013).
The social and economic bases of network multiplexity:
Exploring the emergence of multiplex ties.
Strategic Organization, 11, 7-34.
DOI:
https://dx.doi.org/10.1177/1476127012461576
- Karl Finger and Thomas Lux (2017).
Network formation in the interbank money market:
An application of the actor-oriented model.
Social Networks 48, 237-249.
DOI:
https://dx.doi.org/10.1016/j.socnet.2015.11.005
- Manuel Fischer, Karin Ingold, Pascal Sciarini,
and Frédéric Varone (2012).
Impacts of market liberalization on regulatory network:
a longitudinal analysis of the Swiss telecommunications sector.
The Policy Studies Journal, 40, 435-457.
DOI:
https://dx.doi.org/10.1111/j.1541-0072.2012.00460.x
- Andrea Fronzetti Colladon, Francesca Grippa, Chiara Broccatelli, Cynthia Mauren,
Scarlett Mckinsey, Jacob Kattan, Evelyne St John Sutton, Lisa Satlin, and John Bucuvalas (2022).
Boosting advice and knowledge sharing among healthcare professionals.
Journal of Knowledge Management, 27(8), 2017-2033.
DOI:
https://dx.doi.org/10.1108/JKM-06-2022-0499
- Jiawei S. Fu (2019).
Unpacking the influence of informational,
organizational, and structural factors on the
longitudinal change of the NPO follower-followee
network on Twitter.
International journal of Communication, 13, 3802-3825.
- Matteo Gagliolo, Tom Lenaerts, and Dirk Jacobs (2014).
Politics Matters: Dynamics of Inter-organizational Networks among Immigrant Associations.
In Pierluigi Contucci, Ronaldo Menezes, Andrea Omicini, and Julia Poncela-Casasnovas (eds.),
Complex Networks V, p. 47-55.
Springer: Studies in Computational Intelligence, vol. 549.
- Ariana Garrote (2020).
Academic achievement and social interactions:
A longitudinal analysis of peer selection processes in inclusive elementary classrooms.
Frontiers in Education, 5(4).
https://doi.org/10.3389/feduc.2020.00004
- Ariana Garrote, Carmen L. A. Zurbriggen, and Susanne Schwab (2023).
Friendship networks in inclusive elementary classrooms:
Changes and stability related to students' gender and self-perceived social inclusion.
Social Psychology of Education, 26, 1479-1497.
https://doi.org/10.1007/s11218-023-09804-z
- Judith Gilsbach and Johannes Stauder (2025).
Digital communication and tie formation amongst freshmen students during and after the pandemic.
Social Networks, 81, 53-66.
https://doi.org/10.1016/j.socnet.2024.12.002
- Giuseppe Giordano and Marcella De Martino (2021).
Equity
joint ventures and new partnerships formation in terminal management:
a Stochastic Actor Oriented Model.
International journal of transport economics:
Rivista internazionale di economia dei trasporti : XLVIII, 3/4, 359-379.
Pisa : Fabrizio Serra, 2021.
- Elisa Giuliani (2013).
Network dynamics in regional clusters: Evidence from Chile.
Research Policy, 42, 1406-1419.
DOI:
https://dx.doi.org/10.1016/j.respol.2013.04.002
- Sarah Louise Gordon (2018).
Investigating the stability of peer friendships amongst preschool children: A longitudinal South African study.
Master's Thesis, Stellenbosch University.
https://scholar.sun.ac.za/handle/10019.1/103423
- Jennifer A. Hagala (2017).
How far will you go when there is an embargo? A stochastic-actor
oriented model of the effects of the arms embargos on illicit weapons trade.
Electronic Theses, Projects, and Dissertations. 538.
California State University, San Bernardino.
- Daniel Hain, Thomas Buchmann, Muhamed Kudic and Matthias Müller (2018).
Endogenous dynamics of innovation networks in the German automotive industry:
analysing structural network evolution using a stochastic actor-oriented approach.
International Journal of Computational Economics and Econometrics, 8(3-4), 325-344.
DOI:
https://doi.org/10.1504/IJCEE.2018.096392.
- Darren Hawkins and Jay Goodliffe (2023).
"Leave It as It Is": International Network Effects on Protected Lands.
International Interactions, 49, 696-726.
DOI:
https://doi.org/10.1080/03050629.2023.2236774.
- Claudius A. Hildebrand (2015).
A Cognitive Compass for a Social World: The Effects of Lay Theories on
Networking Engagement. Doctoral Dissertation.
Columbia University Academic Commons, Columbia University, New York.
- Marion Hoffman and Timothée Chabot (2023).
The role of selection in socioeconomic homophily: Evidence from an
adolescent summer camp.
Social Networks, 74, 259-274.
DOI:
https://doi.org/10.1016/j.socnet.2023.04.002
- Zhibin Hu, Guangdong Wu, Yilong Han, and Yanliang Niu (2022).
Unraveling the dynamic changes of high-speed rail network with urban
development: Evidence from China.
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Social status in the early adolescent peer system in the United States and China.
Doctoral dissertation, University of Illinois at Urbana - Champaign.
https://www.ideals.illinois.edu/bitstream/handle/2142/97287/ZHANG-DISSERTATION-2017.pdf?sequence=1&isAllowed=y
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Dynamics in the European Air Transport Network, 2003-9: An Explanatory Framework
Drawing on Stochastic Actor-Based Modeling.
Networks and Spatial Economics, 16, 643-663.
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https://dx.doi.org/10.1007/s11067-015-9292-8.
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Understanding the dynamics of MOOC discussion forums with simulation investigation
for empirical network analysis (SIENA).
Distance Education, 37:3, 270-286.
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https://dx.doi.org/10.1080/01587919.2016.1226230.
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Isolation but Diffusion? A Structural Account of Depression Clustering
among Adolescents.
Social Psychology Quarterly, 83, 363-382.
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https://dx.doi.org/10.1177/0190272520949452.
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Leaders of Peer Groups in Chinese Early Adolescents: The Roles of
Social, Academic, and Psychological Characteristics in Group Leadership.
Journal of Youth and Adolescence, 53, 2151-2164.
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https://doi.org/10.1007/s10964-024-02003-9.
Articles about Multilevel (Multi-Group) Analysis of Network Dynamics
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Multilevel meta network analysis with application to studying network
dynamics of network interventions. Social Networks, 43, 48-56.
DOI:
https://dx.doi.org/10.1016/j.socnet.2015.03.006.
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Multidimensional similarity in multiplex networks: friendships between same- and cross-gender bullies and same- and cross-gender victims.
Network Science, 8(1), 79-96.
DOI:
https://doi.org/10.1017/nws.2020.1
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How media portrayal of CEO overconfidence impacts radical innovation.
Research Policy, 53, 105105.
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https://doi.org/10.1016/j.respol.2024.105105.
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In-Group Bias or Out-Group Reluctance? The Interplay of Gender and Religion
in Creating Religious Friendship Segregation among Muslim Youth.
Social Forces, 100, 1307-1332.
DOI:
https://dx.doi.org/10.1093/sf/soab029
(Uses sienaBayes).
- Sophie Oczlon, Zsófia Boda, Susanne Schwab, Lisa Bardach, Mike Lehofer, and
Marko Lüftenegger (2023).
Ethnic in-and out-group friendships going into early adolescence:
Prevalence, quality, stability, and the role of the network structure.
Journal of Early Adolescence, 43, 867-907
DOI:
https://dx.doi.org/10.1177/02724316221130439
(Uses sienaBayes).
- Tom A.B. Snijders and Frank Kalter (2020).
Religious diversity and social cohesion in German classrooms;
A micro-macro study based on empirical simulations .
Chapter 23, pp. 525-543 in:
Advances in the sociology of trust and cooperation;
Theory, experiments, and field studies,
edited by Vincent Buskens, Rense Corten, and Chris Snijders.
DOI:
https://doi.org/10.1515/9783110647495-023
(Uses sienaBayes).
-
Linda Zhao (2023).Networks in the making: Friendship segregation and
ethnic homophily.
Social Science Research, 110, 102813.
DOI:
https://dx.doi.org/10.1016/j.ssresearch.2022.102813
 |
|
|
Articles about dynamics of networks and behavior.
Tutorial / review articles
- Jasperina Brouwer and Dominik E. Froehlich (2020).
Co-Evolution Models of Longitudinally Measured Interactions.
In: Analyzing Group Interactions; A Guidebook for Qualitative,
Quantitative and Mixed Methods, edited by Matthias Huber
and Dominik E. Froehlich.
Abingdon: Routledge.
ISBN: 978-0-367-32111-6.
- Yuval Kalish (2020). Stochastic Actor-Oriented
Models for the Co-Evolution of Networks and Behavior:
An Introduction and Tutorial.
Organizational Research Methods, 23, 511-534.
DOI:
https://dx.doi.org/10.1177/1094428118825300
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In Emerging Trends in the Social and Behavioral Sciences
(eds R. A. Scott and S. M. Kosslyn).
DOI:
https://dx.doi.org/10.1002/9781118900772.etrds0397
- Jennifer Watling Neal and René Veenstra (2021).
Network selection and influence effects on children's and
adolescents' internalizing behaviors and peer victimization: A systematic review.
Developmental Review 59, 100944.
DOI:
https://doi.org/10.1016/j.dr.2020.100944
- Craig Rawlings, Jeffrey A. Smith, James Moody, and Daniel McFarland (2023).
Network Analysis: Integrating Social Network Theory, Method, and Application with R.
Cambridge University Press.
Chapter 15: Social Influence: Coevolution of Networks and Behaviors.
Associated with this book are R tutorials:
here is the tutorial for Chapter 15.
- Tom A.B. Snijders, Gerhard G. van de Bunt, and Christian E.G. Steglich (2010).
Introduction to actor-based models for network dynamics.
Social Networks, 32, 44-60.
DOI:
https://dx.doi.org/10.1016/j.socnet.2009.02.004
- Veenstra, R., Bertogna, T., and Laninga-Wijnen, L. (2024).
The growth of longitudinal social network analysis:
A review of the key data sets and topics in research on child and adolescent development.
In M. E. Feinberg & D. W. Osgood (Eds.), Teen Friendship Networks, Development, and Risky Behavior (pp. 326-352).
DOI:
https://dx.doi.org/10.1093/oso/9780197602317.003.0014
- Veenstra, R., and Dijkstra, J.K. (2011).
Transformations in Peer Networks. Chapter 7 (pp. 135-154) in
B. Laursen and W.A. Collins (eds.),
Relationship Pathways: From Adolescence to Young Adulthood.
New York: Sage.
- René Veenstra, Jan Kornelis Dijkstra, and Derek A. Kreager (2018).
Pathways, networks, and norms: A sociological perspective on peer research.
In W.M. Bukowski, B. Laursen, & K.H. Rubin (eds.)
Handbook of peer interactions, relationships, and groups,
2nd edition (pp.45-63). New York: Guilford.
ISBN 9781462525010
- Veenstra, R. and Huitsing, G. (2021).
Social network approaches to bullying and victimization.
In P. K. Smith, & J. O’Higgins Norman (eds.).
The Wiley Blackwell Handbook of Bullying. Volume 1 (pp. 196-214). Hoboken, NJ: Wiley.
- Veenstra, R., and Steglich, C. (2012).
Actor-based model for network and behavior dynamics:
A tool to examine selection and influence processes.
Chapter 34 (pp. 598-618) in B. Laursen, T. D. Little, and N. A. Card (Eds.),
Handbook of developmental research methods. New York: Guilford Press.
- Ralf Wölfer, Nadira S. Faber, and Miles Hewstone (2015).
Social network analysis in the science of groups:
Cross-sectional and longitudinal applications for studying intra-and intergroup behavior.
Group Dynamics: Theory, Research, and Practice, 19, 45-61.
DOI:
https://dx.doi.org/10.1037/gdn0000021
Meta-analyses of Siena results
- Xiaoping Deng, Chen Xu, Maowei Cheng, and Xiangkui Zhang (2017).
Peer selection and peer influence:
A meta-analysis on social network based research on adolescent delinquency.
Advances in Psychological Science, 25 (11): 1898-1909. (in Chinese)
DOI:
https://dx.doi.org/10.3724/SP.J.1042.2017.01898
- Owen Gallupe, John McLevey and Sarah Brown (2019).
Selection and influence: A meta-analysis of the association between peer and personal offending.
Journal of Quantitative Criminology, 35, 313-335.
DOI:
https://doi.org/10.1007/s10940-018-9384-y
- Angela K. Henneberger, Dawnsha R. , Mushonga, D. R., and Alison M. Preston (2021).
Peer influence and adolescent substance use:
A systematic review of dynamic social network research.
Adolescent Research Review, 6, 57–7.
DOI:
https://doi.org/10.1007/s40894-019-00130-0
- Valeria Ivaniushina, Vera Titkova and Daniel Alexandrov (2019).
Peer influence in adolescent drinking behaviour:
a protocol for systematic review and meta-analysis of stochastic actor-based modeling studies.
BMJ Open, 9(7).
DOI:
https://dx.doi.org/10.1136/bmjopen2018-028709
- Torrejón-Guirado, María-Carmen, Miguel Ángel Baena-Jiménez,
Marta Lima-Serrano, Hein de Vries, and Liesbeth Mercken (2023).
The influence of peer's social networks on adolescent’s cannabis use:
a systematic review of longitudinal studies.
Frontiers in Psychiatry, 14: 1306439.
DOI:
https://doi.org/10.3389/fpsyt.2023.1306439
Special issue
Research articles
Articles about Multilevel (Multi-Group) Analysis of Network and Behavior Dynamics
- Daniela V. Chávez, Diego Palacios, Lydia Laninga-Wijnen, Christina Salmivalli, Claire F. Garandeau,
Christian Berger, and Bernadette Paula Luengo Kanacri (2025).
Do Adolescents Adopt the Prosocial Behaviors of the Classmates They Like?
A Social Network Analysis on Prosocial Contagion.
Journal of Youth and Adolescence, 54, 17-31.
DOI:
https://doi.org/10.1007/s10964-024-02037-z
(Uses sienaBayes.)
- Ariana Garrote, Carmen L. A. Zurbriggen, and Susanne Schwab (2023).
Friendship networks in inclusive elementary classrooms:
Changes and stability related to students' gender
and self-perceived social inclusion.
Social Psychology of Education, 26, 1479-1497.
DOI:
https://doi.org/10.1007/s11218-023-09804-z
- Andrea B. Knecht, William J. Burk, Jeroen Weesie, and Christian E. G. Steglich (2010).
Friendship and alcohol use in early adolescence: A multilevel social network approach,
Journal of Research on Adolescence, 21, 475-487.
DOI:
https://dx.doi.org/10.1111/j.1532-7795.2010.00685.x
- Andrea Knecht, Tom A. B. Snijders, Chris Baerveldt, Christian E. G. Steglich, and Werner Raub (2010).
Friendship and Delinquency: Selection and Influence Processes in Early Adolescence,
Social Development, 19, 494-514.
DOI:
https://dx.doi.org/10.1111/j.1467-9507.2009.00564.x
- David Kretschmer(2024).
The Gendered Influence of Cross-Gender Friends on the Development of Adolescents'
Gender Role Attitudes. Sex Roles (2024), 90- 1218-1233.
DOI:
https://doi.org/10.1007/s11199-024-01505-x
(Uses sienaBayes.)
-
Chaïm la Roï, Jan Kornelis Dijkstra, Tina Kretschmer, Rüta Savickaité and René Veenstra (2020).
Peers and homophobic attitudes in adolescence: Examining selection and influence processes in friendships and antipathies.
Journal of Youth and Adolescence.
DOI:
https://doi.org/10.1007/s10964-020-01298-8
- Lars Leszczensky and Sebastian Pink (2020).
Are birds of a feather praying together? Assessing friends' influence on moslim youths' religiosity in Germany.
Social Psychology Quarterly, 83(3), 251-271.
DOI:
https://doi.org/10.1177/0190272520936633
- Tomáš Lintner (2024).
No Evidence for Social Selection and Peer Influence on Grades and Literacy
Among Early Adolescents Through Friendship Ties.
The Journal of Early Adolescence, in press.
DOI:
https://doi.org/10.1177/02724316241271424
- Georg Lorenz, Zsofia Boda, Zerrin Salikutluk and Malte Jansen (2020).
Social influence or selection? Peer effects on the development of adolescents' educational expectations in Germany
British Journal of Sociology of Education, 41, 643-669.
DOI:
https://doi.org/10.1080/01425692.2020.1763163
(Uses sienaBayes.)
- Cassie McMillan, Daniel T. Ragan, and Alana Colindres (2023).
Variation in network processes across community and school district contexts.
Pp. 247-263 in:
Feinberg, M.E., Osgood, D.W. (Eds.),
Teen Friendship Networks, Development, and Risky Behavior.
Oxford University Press.
https://doi.org/10.1093/oso/9780197602317.003.0010
-
L. Mercken, T.A.B. Snijders, C. Steglich, E. Vartiainen, H. de Vries (2010).
Dynamics of adolescent friendship networks and smoking behavior.
Social Networks, 32, 72-81.
DOI:
https://dx.doi.org/10.1016/j.socnet.2009.02.005.
-
L. Mercken, T.A.B. Snijders, C. Steglich, E. Vartiainen, H. de Vries (2010).
Smoking-based selection and influence in gender-segregated friendship networks:
a social network analysis of adolescent smoking
.
Addiction, 105, 1280-1289.
DOI:
https://dx.doi.org/10.1111/j.1360-0443.2010.02930.x.
- Liesbeth Mercken, Tom A.B. Snijders, Christian Steglich, Hein de Vries (2009).
Dynamics of adolescent friendship networks and smoking behavior: Social
network analyses in six European countries.
Social Science and Medicine (2009), 69, 1506-1514.
DOI:
https://dx.doi.org/10.1016/j.socscimed.2009.08.003.
- Liesbeth Mercken, Christian Steglich, Ronald Knibbe, Hein de Vries (2012).
Dynamics of Friendship Networks and Alcohol Use in Early and Mid-Adolescence.
Journal of Studies on Alcohol and Drugs, 73, 99-110.
DOI:
https://doi.org/10.15288/jsad.2012.73.99.
- Liesbeth Mercken, Christian Steglich, Philip Sinclair, Jo Holliday, and Laurence Moore (2012).
A longitudinal social network analysis of peer influence, peer selection, and smoking behavior
among adolescents in British schools.
Health Psychology, 31, 450-459.
DOI:
https://psycnet.apa.org/doi/10.1037/a0026876.
- Diego Palacios, Christian Berger, Bernardette Paula Luengo Kanacri,
Mark Huisman, and René Veenstra (2024).
The role of academic performance, prosocial
behaviour and friendships on adolescents' preferred
studying partners: A longitudinal social network
analysis.
British Journal of Educational Psychology, in press.
DOI:
https://doi.org/10.1111/bjep.12675.
- Xingna Qin, Lydia Laninga-Wijnen, Christian Steglich, Yunyun Zhang, Ping Ren, and
René Veenstra (2023). Does having vulnerable friends help vulnerable youth?
The co-evolution of friendships, victimization, and depressive symptoms in
Chinese adolescents' social networks. Child Development, 94, 1531-1549.
DOI:
https://doi.org/10.1111/cdev.13945.
(Uses sienaBayes.)
- Xingna Qin, Lydia Laninga-Wijnen, Christian Steglich, Yunyun Zhang, Ping Ren, and
René Veenstra (2024). Parents on the Sidelines:
The Role of Parental Directing in Chinese Adolescents' Friendship Dynamics Related to
Academic Achievement, Aggression, and Prosocial Behavior.
Journal of Early Adolescence, in press.
DOI:
https://doi.org/10.1177/02724316241244419.
(Uses the two-stage procedure and metafor.)
-
Loes G.M. van Rijsewijk, Beau Oldenburg, Tom A.B. Snijders, Jan Kornelis Dijkstra,
and René Veenstra (2018).
A description of classroom help networks, individual network position, and their
associations with academic achievement. PLoS ONE 13(12): e0208173.
(Uses sienaBayes).
- Nina Steenberghs, Jeroen Lavrijsen, Noona Kiuru, and Karine Verschueren (2024).
Peer Influences on (Dis)Engagement in Early Adolescence: the Role
of Friendship, Social Status, and Academic Status.
Journal of Youth and Adolescence, 53, 940-954.
DOI:
https://doi.org/10.1007/s10964-023-01895-3.
(Uses the two-stage modeling approach.)
- Tanzhe Tang, Tom Snijders and Andreas Flache (2025).
An Empirical and Simulation Investigation of Bounded Confidence and Negative Influence in
Opinion Dynamics Using Stochastic Actor-Oriented Modelling.
Journal of Artificial Societies and Social Simulation 28 (1) 2.
DOI:
https://doi.org/10.18564/jasss.5566
Uses sienaBayes.
- Ming-Te Wanga, Noona Kiuru, Jessica L. Degol, and Katariina Salmela-Aro (2018).
Friends, academic achievement, and school engagement during adolescence:
A social network approach to peer influence and selection effects.
Learning and Instruction, 58, 148-160.
DOI:
https://doi.org/10.1016/j.learninstruc.2018.06.003.
- Michael Windzio (2020).
Causal inference in collaboration networks using propensity score methods.
Quality & Quantity.
DOI:
https://doi.org/10.1007/s11135-020-01005-6
- Maoxin Zhang, Hongyun Liu and Yunyun Zhang (2020).
Adolescent social networks and physical, verbal, and indirect agression in China: The moderating role of gender.
Frontiers in Psychology, 11.
DOI:
https://doi.org/10.3389/fpsyg.2020.00658
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