NDLI: Arrival and departure dynamics in social networks

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Arrival and departure dynamics in social networks

Content Provider	ACM Digital Library
Author	Wu, Shaomei Tomkins, Andrew Das Sarma, Atish Lattanzi, Silvio Fabrikant, Alex
Abstract	In this paper, we consider the natural arrival and departure of users in a social network, and ask whether the dynamics of arrival, which have been studied in some depth, also explain the dynamics of departure, which are not as well studied. Through study of the DBLP co-authorship network and a large online social network, we show that the dynamics of departure behave differently from the dynamics of formation. In particular, the probability of departure of a user with few friends may be understood most accurately as a function of the raw number of friends who are active. For users with more friends, however, the probability of departure is best predicted by the overall fraction of the user's neighborhood that is active, independent of size. We then study global properties of the sub-graphs induced by active and inactive users, and show that active users tend to belong to a core that is densifying and is significantly denser than the inactive users. Further, the inactive set of users exhibit a higher density and lower conductance than the degree distribution alone can explain. These two aspects suggest that nodes at the fringe are more likely to depart and subsequent departure are correlated among neighboring nodes in tightly-knit communities.
Starting Page	233
Ending Page	242
Page Count	10
File Format	PDF
ISBN	9781450318693
DOI	10.1145/2433396.2433425
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2013-02-04
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Social graph analysis Social networks User engagement
Content Type	Text
Resource Type	Article

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