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The past decade has seen an increasing body of literature devoted to the estimation of causal effects in network-dependent data.
Design of randomized experiments in networks
Walker, D. and Muchnik, L. (2014) · 1951
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Causal Diagrams for Empirical Research
Pearl, J. (1995) · 1995
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Collective dynamics of ’small-world’ networks
Watts, D. J. and Strogatz, S. H. (1998) · 1998
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Association, causation, and marginal structural models
Robins, J. M. (1999) · 1999
Earlier work this paper cites.
Why prefer double robust estimators in causal inference?
Neugebauer, R. and van der Laan, M. J. (2005) · 2005
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The igraph software package for complex network research
Csardi, G. and Nepusz, T. (2006) · 2006
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What Do Randomized Studies of Housing Mobility Demonstrate?
Sobel, M. E. (2006) · 2006
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The spread of obesity in a large social network over 32 years
Christakis, N. A. and Fowler, J. H. (2007) · 2007
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statnet: Software tools for the representation, visualization, analysis and simulation of network data
Handcock, M. S., Hunter, D. R., Butts, C. T., Goodreau, S. M., and Morris, M. (2008) · 2008
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Toward causal inference with interference
Hudgens, M. G. and Halloran, M. E. (2008) · 2008
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Causality: Models, Reasoning and Inference
Pearl, J. (2009) · 2009
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LogitNet: Infer network based on binary arrays using regularized logistic regression
Wang, P., Chao, D., and Hsu, L. (2009) · 2009
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The Spread of Evidence-Poor Medicine via Flawed Social-Network Analysis
Lyons, R. (2010) · 2010
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Identifying Social Influence in Networks Using Randomized Experiments
Aral, S. and Walker, D. (2011) · 2011
Earlier work this paper cites.
The “unfriending” problem: The consequences of homophily in friendship retention for causal estimates of social influence
Noel, H. and Nyhan, B. (2011) · 2011
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Homophily and contagion are generically confounded in observational social network studies
Shalizi, C. R. and Thomas, A. C. (2011) · 2011
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Population intervention causal effects based on stochastic interventions
Muñoz, I. D. and van der Laan, M. (2012) · 2012
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The causal foundations of structural equation modeling
Pearl, J. (2012) · 2012
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egonet: Tool for ego-centric measures in Social Network Analysis
Sciandra, A., Gioachin, F., and Finos, L. (2012) · 2012
Cited alongside, same era.
Social contagion theory: examining dynamic social networks and human behavior
Christakis, N. A. and Fowler, J. H. (2013) · 2013
Cited alongside, same era.
ebdbNet: Empirical Bayes Estimation of Dynamic Bayesian Networks
Rau, A. (2013) · 2013
Cited alongside, same era.
RSiena: Siena - Simulation Investigation for Empirical Network Analysis
Ripley, R., Boitmanis, K., and Snijders, T. A. (2013) · 2013
Cited alongside, same era.
NetSim: A Social Networks Simulation Tool in R
Stadtfeld, C. (2013) · 2013
Cited alongside, same era.
Social networks and causal inference
VanderWeele, T. J. and An, W. (2013) · 2013
Cited alongside, same era.
simcausal: Simulating Longitudinal Data with Causal Inference Applications
Sofrygin, O., van der Laan, M. J., and Neugebauer, R. (2015) · 2015
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tsna: Tools for Temporal Social Network Analysis
Bender-deMoll, S. and Morris, M. (2016) · 2016
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ggnetwork: Geometries to Plot Networks with ’ggplot2’
Briatte, F. (2016) · 2016
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nets: Network Estimation for Time Series
Brownlees, C. (2016) · 2016
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networkDynamic: Dynamic Extensions for Network Objects
Butts, C. T., Leslie-Cook, A., Krivitsky, P. N., and Bender-deMoll, S. (2016) · 2016
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SocialMediaLab: Tools for Collecting Social Media Data and Generating Networks for Analysis
Graham, T., Ackland, R., and with contribution from Chung-hong Chan (2016) · 2016
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sna: Tools for Social Network Analysis
Butts, C. T. (2014) · 2014
Cited alongside, same era.
Design and Analysis of Experiments in Networks: Reducing Bias from Interference
Eckles, D., Karrer, B., and Ugander, J. (2014) · 2014
Cited alongside, same era.
dna: Differential Network Analysis
Gill, R., Datta, S., and Datta, S. (2014) · 2014
Cited alongside, same era.
interventionalDBN: Interventional Inference for Dynamic Bayesian Networks
Spencer, S. (2014) · 2014
Cited alongside, same era.
Causal Inference for a Population of Causally Connected Units
van der Laan, M. J. (2014) · 2014
Cited alongside, same era.
CIDnetworks: Generative Models for Complex Networks with Conditionally Independent Dyadic Structure
Adhikari, S., Dabbs, B., Junker, B., Sadinle, M., Sweet, T., and Thomas, A. (2015) · 2015
Cited alongside, same era.
Later among the works it cites.
epinet: Epidemic/Network-Related Tools
Groendyke, C. and Welch, D. (2016) · 2016
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Dependent happenings: a recent methodological review
Halloran, M. E. and Hudgens, M. G. (2016) · 2016
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ergm: Fit, Simulate and Diagnose Exponential-Family Models for Networks
Handcock, M. S., Hunter, D. R., Butts, C. T., Goodreau, S. M., Krivitsky, P. N., and Morris, M. (2016) · 2016
Later among the works it cites.
Leveraging contact network structure in the design of cluster randomized trials
Harling, G., Wang, R., Onnela, J.-P., and DeGruttola, V. (2016) · 2016
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EpiModel: Mathematical Modeling of Infectious Disease
Jenness, S., Goodreau, S. M., and Morris, M. (2016) · 2016
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tergm: Fit, Simulate and Diagnose Models for Network Evolution Based on Exponential-Family Random Graph Models
Krivitsky, P. N. and Handcock, M. S. (2016) · 2016
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R: A Language and Environment for Statistical Computing
R Core Team (2016) · 2016
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multiplex: Algebraic Tools for the Analysis of Multiple Social Networks
Rivero Ostoic, A. (2016) · 2016
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hybridModels: Stochastic Hybrid Models in Dynamic Networks
S. Marques, F., H. H. Grisi-Filho, J., and Amaku, M. (2016) · 2016
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Semi-Parametric Estimation and Inference for the Mean Outcome of the Single Time-Point Intervention in a Causally Connected Population
Sofrygin, O. and van der Laan, M. J. (2016) · 2016
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netdiffuseR: Network Analysis for Diffusion of Innovations
Vega Yon, G., Dyal, S., Hayes, T., and Valente, T. (2016) · 2016
Later among the works it cites.