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Group Intimacy and Network Formation

Authors: Kibum Kim; Woo Seong Jo; Beom Jun Kim;

Group Intimacy and Network Formation

Abstract

Recent development of information technology allows us to efficiently communicate with others, sharing common interest and finding new friends. Numerous online communities are formed and disappear, but only a few survive the competition. Even after the survival, they eventually suffer from a decline as time goes on. Formation of a small intimate group within a community is often observed, and the members of this tightly-connected group play an important role providing strong activity in the community. However, the development of such an intimate group can exhibit a dark side effect: Other members in the community may feel left out and isolated, and newcomers may have hard time to join the already established intimacy. We believe that such a development of the tightly connected group of small number of intimate members can harm the further growth of the whole community, eventually reducing the community size. In this paper, we propose a growing network model in which the strength of the intimacy among members is a tunable control parameter. We observe how the size of the giant component is affected by the strength of the intimacy and find that it takes longer time for new nodes to make strong connections when the intimacy becomes stronger. Such alienated newcomers lose their connections and are driven out of the system, reducing the size of the connected component of the network.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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