Henneberg Growth of Social Networks : Modeling the Facebook
Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
Original language | English |
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Pages (from-to) | 701-712 |
Journal / Publication | IEEE Transactions on Network Science and Engineering |
Volume | 7 |
Issue number | 2 |
Online published | 16 Jul 2018 |
Publication status | Published - Apr 2020 |
Link(s)
Abstract
Social networks are complex in their forming and growing processes. Tremendous empirical evidence in undirected social networks, such as Facebook, Quora and Foursquare, demonstrates that, to a large extent, individuals are associated with each other not by preference but through other organizing rules. One such rule found in many real social networks is the Henneberg growth mechanism, with which a triangle will be formed whenever an individual joins a community. Inspired by this mechanism, a novel social network model, named Henneberg growth model, is proposed in this paper. Some topological and dynamical properties of the model in common interest are analyzed. Experimental results show that the function and structure of the model are in remarkable agreement with two huge-scale Facebook network datasets. The finding suggests that the Henneberg growth mechanism is indeed fundamental for modeling some undirected social networks like the Facebook.
Research Area(s)
- Facebook network, Henneberg growth, Power-law distribution, Degree correlation
Citation Format(s)
Henneberg Growth of Social Networks : Modeling the Facebook. / Yang, Dong; Liu, Mengyang; Zhang, Yichao et al.
In: IEEE Transactions on Network Science and Engineering, Vol. 7, No. 2, 04.2020, p. 701-712.Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review