Communication activity in a social network: relation between long-term correlations and inter-event clustering.
Communication activity in a social network: relation between long-term correlations and inter-event clustering.
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DOI:
10.1038/srep00560
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发表时间:
2012
影响因子:
4.6
通讯作者:
Makse, Hernan A.
中科院分区:
文献类型:
--
作者:
Rybski, Diego;Buldyrev, Sergey V.;Havlin, Shlomo;Liljeros, Fredrik;Makse, Hernan A.
Human communication in social networks is dominated by emergent statistical laws such as non-trivial correlations and temporal clustering. Recently, we found long-term correlations in the user's activity in social communities. Here, we extend this work to study the collective behavior of the whole community with the goal of understanding the origin of clustering and long-term persistence. At the individual level, we find that the correlations in activity are a byproduct of the clustering expressed in the power-law distribution of inter-event times of single users, i.e. short periods of many events are separated by long periods of no events. On the contrary, the activity of the whole community presents long-term correlations that are a true emergent property of the system, i.e. they are not related to the distribution of inter-event times. This result suggests the existence of collective behavior, possibly arising from nontrivial communication patterns through the embedding social network.
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影响因子:
4.6
作者:
Gallos LK;Barttfeld P;Havlin S;Sigman M;Makse HA
通讯作者:
Makse HA
影响因子:
3.1
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Liljeros, F
DOI:
10.1016/j.physa.2004.02.054
发表时间:
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影响因子:
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通讯作者:
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DOI:
10.1073/pnas.0709957104
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2007-12-26
影响因子:
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作者:
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