DISSECT: Data-Intensive Socially Similar Evolving Community Tracker
Alvin Chin, Mark Chignell
Zu finden in: Computational Social Network Analysis, 2009
Diese Seite wurde seit 14 Jahren inhaltlich nicht mehr aktualisiert.
Unter Umständen ist sie nicht mehr aktuell.
Zusammenfassungen
This chapter examines the problem of tracking community in social networks inferred from online interactions by tracking evolution of known subgroups over time. Finding subgroups within social networks is important for understanding and possibly influencing the formation and evolution of online communities. A variety of approaches have been suggested to address this problem and the corresponding research literature on centrality, clustering, and optimization methods for finding subgroupings is reviewed. This review will include a critical analysis of the limitations of past approaches. The focus of the chapter will then turn to novel methods for tracking online community interaction. First, the method proposed by Chin and Chignell called SCAN will be briefly introduced, where a combination of heuristic methods is used to identify subgroups in a manner that can potentially scale up to very large social networks. Then, we present the DISSECT method where multiple known subgroups within a social network are tracked in terms of similarity-based cohesiveness over time. The DISSECT method relies on cluster analysis of snapshots of network activity at different points in time followed by similarity analysis of subgroup evolution over successive time periods. The DISSECT method can be supplemented with behavioral measures of sense of community where administration of a questionnaire is feasible. Finally, we conclude the chapter with a discussion on possible applications and use of the DISSECT method.
Von Alvin Chin, Mark Chignell im Buch Computational Social Network Analysis (2009) im Text DISSECT: Data-Intensive Socially Similar Evolving Community Tracker Anderswo finden
Anderswo suchen
Beat und dieser Text
Beat hat Dieser Text während seiner Zeit am Institut für Medien und Schule (IMS) ins Biblionetz aufgenommen. Er hat Dieser Text einmalig erfasst und bisher nicht mehr bearbeitet. Beat besitzt weder ein physisches noch ein digitales Exemplar. Aufgrund der wenigen Einträge im Biblionetz scheint er es nicht wirklich gelesen zu haben. Es gibt bisher auch nur wenige Objekte im Biblionetz, die dieses Werk zitieren.