Nucleation of social groups: The role of centrality inequality and social mobility

Yaniv Dover*, Guy Kelman

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Even though the heterogeneity of social networks centrality is well documented, its role and effect on network stability, is unclear. It is known that, universally, networks have an “inner” highly-connected nucleus and, in contrast, sparser outer shells. But, to what extent the existence of this nucleus is crucial for the survival of a network? To what extent is the outer shells, much-larger population, essential to the longevity of the network? Furthermore, network structure is very much dependent on the mobility between centrality shells, i.e., social mobility. What is, then, the role of social mobility in the formation of the nucleus-periphery profile and does it have an effect on network lifetime? Here, we explore these questions using data collected of more than 10K networked communities, with more than 134K users, for over a decade. We find that: (i) social mobility is, on average, negative and promotes instability, and (ii) the more positive social mobility is, the more stable the community. Further, (iii) the network is composed of two phases, a large but ephemeral sparsely-connected cloud of actors which nucleates around a highly stable nucleus of core users. Finally, (iv) networked communities which closely maintain a nucleation ratio, i.e., ratio between nucleus size and outer shells size, of 1 to 3, exhibit the best chances of survival. Deviations from this nucleation ratio translates into the collapse of the network, especially for younger communities.

Original languageAmerican English
Title of host publicationComplex Networks and Their Applications VI - Proceedings of Complex Networks 2017 (The 6th International Conference on Complex Networks and Their Applications)
EditorsHocine Cherifi, Chantal Cherifi, Mirco Musolesi, Márton Karsai
PublisherSpringer Verlag
Pages670-679
Number of pages10
ISBN (Print)9783319721491
DOIs
StatePublished - 2018
Event6th International Conference on Complex Networks and Their Applications, Complex Networks 2017 - Lyon, France
Duration: 29 Nov 20171 Dec 2017

Publication series

NameStudies in Computational Intelligence
Volume689
ISSN (Print)1860-949X

Conference

Conference6th International Conference on Complex Networks and Their Applications, Complex Networks 2017
Country/TerritoryFrance
CityLyon
Period29/11/171/12/17

Bibliographical note

Publisher Copyright:
© Springer International Publishing AG 2018.

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