Big data, computational social science, and other recent innovations in social network analysis
David B. Tindall, John McLevey, Yasmin Koop‐Monteiro, Alexander V. Graham
Abstract
While sociologists have studied social networks for about one hundred years, recent developments in data, technology, and methods of analysis provide opportunities for social network analysis (SNA) to play a prominent role in the new research world of big data and computational social science (CSS). In our review, we focus on four broad topics: (1) Collecting Social Network Data from the Web, (2) Non-traditional and Bipartite/Multi-mode Networks, including Discourse and Semantic Networks, and Social-Ecological Networks, (3) Recent Developments in Statistical Inference for Networks, and (4) Ethics in Computational Network Research.
Topics & Concepts
HumanitiesSocial network (sociolinguistics)Social network analysisSociologyComputer scienceWorld Wide WebSocial capitalSocial mediaSocial sciencePhilosophyComplex Network Analysis TechniquesComputational and Text Analysis MethodsOpinion Dynamics and Social Influence