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Empirical Study of Renren - A Large-scale Online Social Network
PrePrint
ISSN: 0018-9162
ASCII Text
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Jianwei Niu, Jing Peng, Lei Shu, Chao Tong, Wanjiun Liao, "Empirical Study of Renren - A Large-scale Online Social Network," Computer, vol. 99, no. 1, pp. 1, , 5555.
 
 
BibTex
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@article{ 10.1109/MC.2013.1,
author = {Jianwei Niu and Jing Peng and Lei Shu and Chao Tong and Wanjiun Liao},
title = {Empirical Study of Renren - A Large-scale Online Social Network},
journal ={Computer},
volume = {99},
number = {1},
issn = {0018-9162},
year = {5555},
pages = {1},
doi = {http://doi.ieeecomputersociety.org/10.1109/MC.2013.1},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - MGZN
JO - Computer
TI - Empirical Study of Renren - A Large-scale Online Social Network
IS - 1
SN - 0018-9162
SP
EP
EPD - 1
A1 - Jianwei Niu,
A1 - Jing Peng,
A1 - Lei Shu,
A1 - Chao Tong,
A1 - Wanjiun Liao,
PY - 5555
VL - 99
JA - Computer
ER -
 
Jianwei Niu, Beihang University, Beijing
Jing Peng, Beihang University, Beijing
Lei Shu, Osaka University, Suita
Chao Tong, Beihang University, Beijing
Wanjiun Liao, National Taiwan University (NTU), Taibei
The study of social networks has attracted much attention in the research community. With abundant data produced by online social applications, much effort has been devoted to mining their patterns. In this paper, we analyze the structural and evolutionary properties of Renren (http://www.renren.com/), a large-scale online social network website, and discuss potential applications. Our empirical results show that Renren exhibits exponentially truncated power law in degree distribution, and has a short average node distance. The network demonstrates temporal locality in the edge creation process, and follows a power law in the distribution of the longevity of the disconnected components.
Citation:
Jianwei Niu, Jing Peng, Lei Shu, Chao Tong, Wanjiun Liao, "Empirical Study of Renren - A Large-scale Online Social Network," Computer, 03 Jan. 2013. IEEE computer Society Digital Library. IEEE Computer Society, <http://doi.ieeecomputersociety.org/10.1109/MC.2013.1>
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