Modeling online social networks based on preferential linking
We study the phenomena of preferential linking in a large-scale evolving online social network and find that the linear preference holds for preferential creation, preferential acceptance, and preferential attachment. Based on the linear preference, we propose an analyzable model, which illustrates...
Saved in:
Published in | Chinese physics B Vol. 21; no. 11; pp. 573 - 578 |
---|---|
Main Author | |
Format | Journal Article |
Language | English |
Published |
01.11.2012
|
Subjects | |
Online Access | Get full text |
Cover
Loading…
Summary: | We study the phenomena of preferential linking in a large-scale evolving online social network and find that the linear preference holds for preferential creation, preferential acceptance, and preferential attachment. Based on the linear preference, we propose an analyzable model, which illustrates the mechanism of network growth and reproduces the process of network evolution. Our simulations demonstrate that the degree distribution of the network produced by the model is in good agreement with that of the real network. This work provides a possible bridge between the micro=mechanisms of network growth and the macrostructures of online social networks. |
---|---|
Bibliography: | We study the phenomena of preferential linking in a large-scale evolving online social network and find that the linear preference holds for preferential creation, preferential acceptance, and preferential attachment. Based on the linear preference, we propose an analyzable model, which illustrates the mechanism of network growth and reproduces the process of network evolution. Our simulations demonstrate that the degree distribution of the network produced by the model is in good agreement with that of the real network. This work provides a possible bridge between the micro=mechanisms of network growth and the macrostructures of online social networks. Hu Hai-Bo, Guo Jin-Li and Chen Jun a) Department of Management, East China University of Science and Technolog~ Shanghai 200237, China b) School of Management, University of Shanghai for Science and Technology, Shanghai 200093, China online social network, preferential linking, model, power law 11-5639/O4 ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 1674-1056 2058-3834 1741-4199 |
DOI: | 10.1088/1674-1056/21/11/118902 |