Social Networks

Paper abstract: Permutation tests have a long history in testing hypotheses of independence between nodal attributes and network structure, though they are often thought less informative than parametric modeling techniques. In this paper, we show that when the nodal attribute is random assignment to a treatment condition, permutation tests provide a valid test of the causal effect of treatment. We discuss existing test statistics used in network permutation tests and propose several new statistics. In simulations we find that these statistics perform well compared to parametric tests and that specific statistics can be selected to provide power against common network models. We illustrate the methods with gene-wide association study performed on randomized study participants and an observational study of gender membership on Scandinavian corporate boards. This replication archive contains all materials to recreate analysis, figures, and the paper itself. See README.txt for system requirements.

Inside the code is an algorithmic framework for modeling the dynamic process of how the Venture Capital network come into being. Usage: To simulate this model, run Launcher.m with Parameter ClassANumber = 75 (original VC number); ClassBNumber = 375(original firm number); step = 14 (iteration times); Count = 10 ( times during each iteration).

Experimental data & analysis file (Stata)

Experimental data & analysis file (Stata)

Results of the laboratory experiment about the impact of referrals and information flow on hiring decisions, created by using the software z-Tree

This directory contains a replication data file for Parameter Estimation Procedures for Exponential-Family Random Graph Models on Count-Valued Networks: A Comparative Simulation Study. It also contains a separate R script: the source code of Maximum Pseudo-likelihood Estimation (MPLE) for Count-valued ERGMs.

This is the "lastfm" network used in the article: Toivonen, R., Kovanen, L., Kivelä, M., Onnela, J. P., Saramäki, J., & Kaski, K. (2009). A comparative study of social network models: Network evolution models and nodal attribute models. Social networks, 31(4), 240-254. doi:10.1016/j.socnet.2009.06.004 The data set is described in the article. Please cite the original article when using this data set. Format of the data set is an edge list, where row in the file is an edge connecting the two nodes indicated by the two numbers separated by a whitespace. Each node number corresponds to a single account in the website. The original data in which this network is based on was licensed under the "Creative Commons Attribution-NonCommercial-ShareAlike 2.0 UK: England & Wales" licese, and accordinly this data set uses the same license. License available at https://creativecommons.org/licenses/by-nc/2.0/uk/

This is the replication archive for Box-Steffensmeier et. al's "Role analysis using the ego-ERGM: A look at environmental interest group coalitions."