Exponential Random Graph Models (ERGMs) are a family of statistical models for analyzing data from social and other networks.[1][2] Examples of networks examined using ERGM include knowledge networks,[3] organizational networks,[4] colleague networks,[5] social media networks, networks of scientific development,[6] and others.
^Lusher, Dean; Koskinen, Johan; Robins, Garry (2012). Exponential Random Graph Models for Social Networks: Theory, Methods, and Applications (Structural Analysis in the Social Sciences). doi:10.1017/CBO9780511894701. ISBN9780521141383. OCLC1120539699.
^Brennecke, Julia; Rank, Olaf (2017-05-01). "The firm's knowledge network and the transfer of advice among corporate inventors—A multilevel network study". Research Policy. 46 (4): 768–783. doi:10.1016/j.respol.2017.02.002. ISSN0048-7333.
^Brennecke, Julia (2019). "Dissonant Ties in Intraorganizational Networks: Why Individuals Seek Problem-Solving Assistance from Difficult Colleagues". AMJ Academy of Management Journal. ISSN0001-4273. OCLC8163488129.
^Harris, Jenine K; Luke, Douglas A; Shelton, Sarah C; Zuckerman, Rachael B (2009). "Forty Years of Secondhand Smoke Research. The Gap Between Discovery and Delivery". American Journal of Preventive Medicine. 36 (6): 538–548. doi:10.1016/j.amepre.2009.01.039. ISSN0749-3797. OCLC6980180781. PMID19372026.
