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  5. Henneberg Growth of Social Networks: Modeling the Facebook

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Article
English
2018

Henneberg Growth of Social Networks: Modeling the Facebook

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English
2018
IEEE Transactions on Network Science and Engineering
Vol 7 (2)
DOI: 10.1109/tnse.2018.2856280

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Guanrong Chen
Guanrong Chen

City University Of Hong Kong

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Dong Yang
Mengyang Liu
Yichao Zhang
+3 more

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.

How to cite this publication

Dong Yang, Mengyang Liu, Yichao Zhang, Dong Lin, Zhengping Fan, Guanrong Chen (2018). Henneberg Growth of Social Networks: Modeling the Facebook. IEEE Transactions on Network Science and Engineering, 7(2), pp. 701-712, DOI: 10.1109/tnse.2018.2856280.

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Publication Details

Type

Article

Year

2018

Authors

6

Datasets

0

Total Files

0

Language

English

Journal

IEEE Transactions on Network Science and Engineering

DOI

10.1109/tnse.2018.2856280

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