Event sequences as generators of social network evolution |
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| Institution: | 1. School of Chemistry and Materials Science, Ludong University, Yantai 264025, PR China;2. School of Physics and Material Science, Anhui University, Hefei 230601, PR China;1. Chicago Center for HIV Elimination, University of Chicago, Chicago, IL, United States;2. Department of Medicine, University of Chicago, Chicago, IL, United States;3. Department of Public Health Sciences, University of Chicago, Chicago, IL, United States;4. Center for Data Science and Public Policy, University of Chicago, Chicago, IL, United States;1. National Research University Higher School of Economics, Myasnitskaya, 20, 101000 Moscow, Russia;2. Institute of Mathematics, Physics and Mechanics, Jadranska 19, 1000 Ljubljana, Slovenia;3. University of Primorska, Andrej Marušič Institute, 6000 Koper, Slovenia |
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| Abstract: | The argument presented in this paper is that one fruitful approach to the study of social network evolution takes the form of examining event sequences as generating mechanisms. Evidence for this comes from two empirical studies of structural balance theory and one simulation study of balance theoretic processes. Four views of causality—system, statistical (predictive), mechanism and algorithmic—are briefly contrasted and then examined with structural balance theory in mind. The conventional statement of the theory turns out to be under specified and inattentive to alternative mechanisms that can generate signed networks through time. Empirical studies of structural balance are limited with regard to the kinds of data that are usually collected. Proposals for studying the generation of signed networks through event sequences while being attentive to structural balance ideas are presented. |
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