Reply to “Comment on Geodesic Cycle Length Distributions in Delusional and Other Social Networks”
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References
- Abbott, A. 1988. “Transcending General Linear Reality”. Sociological Theory 6(2):169-86.
- Barabási, A.L., and R. Albert 1999. “Emergence of Scaling in Random Networks”. Science 286(5439):509-12.
- 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.
- 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.
- 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.
- 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.
- Broido, A.D., and A. Clauset. 2019. “Scale-Free Networks are Rare”. Nature Communications 10(1):1017.
- Butts, C.T. 2017. “Comment: Actor Orientation and Relational Event Models”. Sociological Methodology 47(1):47-56.
- Colomer-de-Simón, P., and M. Boguñá. 2014. “Double Percolation Phase Transition in Clustered Complex Networks”. Physical Review X 4(4):041020.
- 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.
- 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.
- 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.
- 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.
- 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.
- Hunter, D.R. 2007. “Curved Exponential Family Models for Social Networks”. Social Networks 29(2):216-30.
- 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.
- 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.
- 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.
- 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.
- Martin, J. L. 2017. “The Structure of Node and Edge Generation in a Delusional Social Network”. Journal of Social Structure 18(1):1-21.
- 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.
- 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.
- 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.
- Robins, G., P. Elliott, and P. Pattison. 2001. “Network Models for Social Selection Processes”. Social Networks, 23(1):1-30.
- 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.
- Snijders, T.A.B. 2017. “Comment: Modeling of Coordination, Rate Functions, and Missing Ordering Information”. Sociological Methodology 47(1):41-7.
- 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.
- Stadtfeld, C., and P. Block. 2017. “Interactions, Actors, and Time: Dynamic Network Actor Models for Relational Events”. Sociological Science 4:318-52.
- Stadtfeld, C., J. Hollway, and P. Block. 2017a. “Dynamic Network Actor Models: Investigating Coordination Ties Through Time”. Sociological Methodology 47(1):1-40.
- 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.
- Stumpf, M.P., and M.A. Porter. 2012. “Critical Truths about Power Laws”. Science, 335(6069):665-6.
Language: English
Page range: 94 - 106
Published on: Oct 1, 2020
Published by: International Network for Social Network Analysis (INSNA)
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
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© 2020 Alex Stivala, published by International Network for Social Network Analysis (INSNA)
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.