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. © 2002 Elsevier Science B.V. All rights reserved.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
