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Abbott, A. 1988. “Transcending General Linear Reality”. Sociological Theory 6(2):169-86.AbbottA.1988. “Transcending General Linear Reality”. 6(2):169-86.10.2307/202114Search in Google Scholar
Barabási, A.L., and R. Albert 1999. “Emergence of Scaling in Random Networks”. Science 286(5439):509-12.BarabásiA.L., and R.Albert1999. “Emergence of Scaling in Random Networks”. 286(5439):509-12.10.1126/science.286.5439.509Search in Google Scholar
Bearman, P.S., J. Moody, and K. Stovel. 2004. “Chains of Affection: The Structure of Adolescent Romantic and Sexual Networks”. American Journal of Sociology 110(1):44-91.BearmanP.S.J.Moody, and K.Stovel. 2004. “Chains of Affection: The Structure of Adolescent Romantic and Sexual Networks”. 110(1):44-91.10.1086/386272Search in Google Scholar
Block, P., J. Hollway, C. Stadtfeld, J. Koskinen, and T.A.B. Snijders. 2019. ““Predicting” after Peeking into the Future: Correcting a Fundamental Flaw in the SAOM – TERGM Comparison of Leifeld and Cranmer (2019)”. arXiv preprint arXiv:1911.01385v1.BlockP.J.HollwayC.StadtfeldJ.Koskinen, and T.A.B.Snijders. 2019. . arXiv preprint arXiv:1911.01385v1.Search in Google Scholar
Block, P., J. Koskinen, J. Hollway, C. Steglich, and C. Stadtfeld. 2018. “Change We Can Believe in: Comparing Longitudinal Network Models on Consistency, Interpretability and Predictive Power”. Social Networks 52:180-91.BlockP.J.KoskinenJ.HollwayC.Steglich, and C.Stadtfeld. 2018. “Change We Can Believe in: Comparing Longitudinal Network Models on Consistency, Interpretability and Predictive Power”. 52:180-91.10.1016/j.socnet.2017.08.001Search in Google Scholar
Block, P., C. Stadtfeld, and T.A.B. Snijders. 2019. “Forms of Dependence: Comparing SAOMs and ERGMs from Basic Principles”. Sociological Methods & Research 48(1):202-39.BlockP.C.Stadtfeld, and T.A.B.Snijders. 2019. “Forms of Dependence: Comparing SAOMs and ERGMs from Basic Principles”. 48(1):202-39.10.1177/0049124116672680Search in Google Scholar
Broido, A.D., and A. Clauset. 2019. “Scale-Free Networks are Rare”. Nature Communications 10(1):1017.BroidoA.D., and A.Clauset. 2019. “Scale-Free Networks are Rare”. 10(1):1017.10.1038/s41467-019-08746-5Search in Google Scholar
Butts, C.T. 2017. “Comment: Actor Orientation and Relational Event Models”. Sociological Methodology 47(1):47-56.ButtsC.T.2017. “Comment: Actor Orientation and Relational Event Models”. 47(1):47-56.10.1177/0081175017728929Search in Google Scholar
Colomer-de-Simón, P., and M. Boguñá. 2014. “Double Percolation Phase Transition in Clustered Complex Networks”. Physical Review X 4(4):041020.Colomer-de-SimónP., and M.Boguñá. 2014. “Double Percolation Phase Transition in Clustered Complex Networks”. 4(4):041020.10.1103/PhysRevX.4.041020Search in Google Scholar
Colomer-de-Simón, P., M.A. Serrano, M.G. Beiró, J.I. Alvarez-Hamelin, and M. Boguñá. 2013. “Deciphering the Global Organization of Clustering in Real Complex Networks”. Scientific Reports 3(1):2517.Colomer-de-SimónP.M.A.SerranoM.G.BeiróJ.I.Alvarez-Hamelin, and M.Boguñá. 2013. “Deciphering the Global Organization of Clustering in Real Complex Networks”. 3(1):2517.10.1038/srep02517Search in Google Scholar
Fritz, C., M. Lebacher, and G. Kauermann. 2020. “Tempus Volat, Hora Fugit: A Survey of Tie-oriented Dynamic Network Models in Discrete and Continuous Time”. Statistica Neerlandica 74(3):275-99.FritzC.M.Lebacher, and G.Kauermann. 2020. “Tempus Volat, Hora Fugit: A Survey of Tie-oriented Dynamic Network Models in Discrete and Continuous Time”. 74(3):275-99.10.1111/stan.12198Search in Google Scholar
Gondal, N., and P.D. McLean. 2013. “What Makes a Network Go Round? Exploring the Structure of a Strong Component with Exponential Random Graph Models”. Social Networks 35(4):499-513.GondalN., and P.D.McLean. 2013. “What Makes a Network Go Round? Exploring the Structure of a Strong Component with Exponential Random Graph Models”. 35(4):499-513.10.1016/j.socnet.2013.06.004Search in Google Scholar
Handcock, M.S., and J.H. Jones. 2004. “Likelihood-based Inference for Stochastic Models of Sexual Network Formation”. Theoretical Population Biology 65(4):413-22.HandcockM.S., and J.H.Jones. 2004. “Likelihood-based Inference for Stochastic Models of Sexual Network Formation”. 65(4):413-22.10.1016/j.tpb.2003.09.006Search in Google Scholar
Hummel, R.M., D.R. Hunter, and M.S. Handcock. 2012. “Improving Simulation-based Algorithms for Fitting ERGMs”. Journal of Computational and Graphical Statistics 21(4):920-39.HummelR.M.D.R.Hunter, and M.S.Handcock. 2012. “Improving Simulation-based Algorithms for Fitting ERGMs”. 21(4):920-39.10.1080/10618600.2012.679224Search in Google Scholar
Hunter, D.R. 2007. “Curved Exponential Family Models for Social Networks”. Social Networks 29(2):216-30.HunterD.R.2007. “Curved Exponential Family Models for Social Networks”. 29(2):216-30.10.1016/j.socnet.2006.08.005Search in Google Scholar
Leifeld, P., and S.J. Cranmer. 2019. “A Theoretical and Empirical Comparison of the Temporal Exponential Random Graph Model and the Stochastic Actor-oriented Model”. Network Science 7(1):20-51.LeifeldP., and S.J.Cranmer. 2019. “A Theoretical and Empirical Comparison of the Temporal Exponential Random Graph Model and the Stochastic Actor-oriented Model”. 7(1):20-51.10.1017/nws.2018.26Search in Google Scholar
Levy, M.A. 2016. “gwdegree: Improving Interpretation of Geometrically-Weighted Degree Estimates in Exponential Random Graph Models”. Journal of Open Source Software 1(3):36.LevyM.A.2016. “gwdegree: Improving Interpretation of Geometrically-Weighted Degree Estimates in Exponential Random Graph Models”. 1(3):36.10.21105/joss.00036Search in Google Scholar
Lusher, D., and G. Robins. 2013. “Formation of Social Network Structure”. In Exponential Random Graph Models for Social Networks, edited by D. Lusher, J. Koskinen and G. Robins, 16-28. New York: Cambridge University Press.LusherD., and G.Robins. 2013. “Formation of Social Network Structure”. In , edited by D.LusherJ.Koskinen and G.Robins, 16-28. New York: Cambridge University Press.10.1017/CBO9780511894701.004Search in Google Scholar
Mahadevan, P., D. Krioukov, K. Fall, and A. Vahdat. 2006. “Systematic Topology Analysis and Generation Using Degree Correlations”. ACM SIGCOMM Computer Communication Review 36(4):135-46.MahadevanP.D.KrioukovK.Fall, and A.Vahdat. 2006. “Systematic Topology Analysis and Generation Using Degree Correlations”. 36(4):135-46.10.1145/1151659.1159930Search in Google Scholar
Martin, J. L. 2017. “The Structure of Node and Edge Generation in a Delusional Social Network”. Journal of Social Structure 18(1):1-21.MartinJ. L.2017. “The Structure of Node and Edge Generation in a Delusional Social Network”. 18(1):1-21.10.21307/joss-2018-005Search in Google Scholar
Orsini, C., M.M. Dankulov, P. Colomer-de-Simón, A. Jamakovic, P. Mahadevan, A. Vahdat, … and S. Fortunato. 2015. “Quantifying Randomness in Real Networks”. Nature Communications 6(1):8627.OrsiniC.M.M.DankulovP.Colomer-de-SimónA.JamakovicP.MahadevanA.Vahdat, … and S.Fortunato. 2015. “Quantifying Randomness in Real Networks”. 6(1):8627.10.1038/ncomms9627Search in Google Scholar
Pattison, P., and T.A.B. Snijders. 2013. “Modeling Social Networks: Next Steps”. In Exponential Random Graph Models for Social Networks, edited by D. Lusher, J. Koskinen and G. Robins, 287-301. New York: Cambridge University Press.PattisonP., and T.A.B.Snijders. 2013. “Modeling Social Networks: Next Steps”. In , edited by D.LusherJ.Koskinen and G.Robins, 287-301. New York: Cambridge University Press.10.1017/CBO9780511894701.026Search in Google Scholar
Robins, G., and G. Daraganova. 2013. “Social Selection, Dyadic Covariates, and Geospatial Effects”. In Exponential Random Graph Models for Social Networks, edited by D. Lusher, J. Koskinen and G. Robins, 91-101. New York: Cambridge University Press.RobinsG., and G.Daraganova. 2013. “Social Selection, Dyadic Covariates, and Geospatial Effects”. In , edited by D.LusherJ.Koskinen and G.Robins, 91-101. New York: Cambridge University Press.10.1017/CBO9780511894701.010Search in Google Scholar
Robins, G., P. Elliott, and P. Pattison. 2001. “Network Models for Social Selection Processes”. Social Networks, 23(1):1-30.RobinsG.P.Elliott, and P.Pattison. 2001. “Network Models for Social Selection Processes”. , 23(1):1-30.10.1016/S0378-8733(01)00029-6Search in Google Scholar
Rolls, D.A., P. Wang, E. McBryde, P. Pattison, and G. Robins. 2015. “A Simulation Study Comparing Epidemic Dynamics on Exponential Random Graph and Edge-Triangle Configuration Type Contact Network Models”. PLoS ONE 10(11):e0142181.RollsD.A.P.WangE.McBrydeP.Pattison, and G.Robins. 2015. “A Simulation Study Comparing Epidemic Dynamics on Exponential Random Graph and Edge-Triangle Configuration Type Contact Network Models”. 10(11):e0142181.10.1371/journal.pone.0142181Search in Google Scholar
Snijders, T.A.B. 2017. “Comment: Modeling of Coordination, Rate Functions, and Missing Ordering Information”. Sociological Methodology 47(1):41-7.SnijdersT.A.B.2017. “Comment: Modeling of Coordination, Rate Functions, and Missing Ordering Information”. 47(1):41-7.10.1177/0081175017723346Search in Google Scholar
Snijders, T.A.B., P.E. Pattison, G.L. Robins, and M.S. Handcock. 2006. “New Specifications for Exponential Random Graph Models”. Sociological Methodology 36(1):99-153.SnijdersT.A.B.P.E.PattisonG.L.Robins, and M.S.Handcock. 2006. “New Specifications for Exponential Random Graph Models”. 36(1):99-153.10.1111/j.1467-9531.2006.00176.xSearch in Google Scholar
Stadtfeld, C., and P. Block. 2017. “Interactions, Actors, and Time: Dynamic Network Actor Models for Relational Events”. Sociological Science 4:318-52.StadtfeldC., and P.Block. 2017. “Interactions, Actors, and Time: Dynamic Network Actor Models for Relational Events”. 4:318-52.10.15195/v4.a14Search in Google Scholar
Stadtfeld, C., J. Hollway, and P. Block. 2017a. “Dynamic Network Actor Models: Investigating Coordination Ties Through Time”. Sociological Methodology 47(1):1-40.StadtfeldC.J.Hollway, and P.Block. 2017a. “Dynamic Network Actor Models: Investigating Coordination Ties Through Time”. 47(1):1-40.10.1177/0081175017709295Search in Google Scholar
Stadtfeld, C., J. Hollway, and P. Block. 2017b. “Rejoinder: DyNAMs and the Grounds for Actor-Oriented Network Event Models”. Sociological Methodology 47(1):56-67.StadtfeldC.J.Hollway, and P.Block. 2017b. “Rejoinder: DyNAMs and the Grounds for Actor-Oriented Network Event Models”. 47(1):56-67.10.1177/0081175017733457Search in Google Scholar
Stumpf, M.P., and M.A. Porter. 2012. “Critical Truths about Power Laws”. Science, 335(6069):665-6.StumpfM.P., and M.A.Porter. 2012. “Critical Truths about Power Laws”. , 335(6069):665-6.10.1126/science.1216142Search in Google Scholar