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99
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CSCW
2008
ACM
14 years 11 months ago
Social networks and context-aware spam
Social networks are popular for online communities. This paper evaluates the risk of sophisticated context-aware spam that could result from information sharing on social networks...
Garrett Brown, Travis Howe, Micheal Ihbe, Atul Pra...
WWW
2008
ACM
15 years 10 months ago
Yes, there is a correlation: - from social networks to personal behavior on the web
Characterizing the relationship that exists between a person's social group and his/her personal behavior has been a long standing goal of social network analysts. In this pa...
Parag Singla, Matthew Richardson
KDD
2008
ACM
211views Data Mining» more  KDD 2008»
15 years 10 months ago
ArnetMiner: extraction and mining of academic social networks
This paper addresses several key issues in the ArnetMiner system, which aims at extracting and mining academic social networks. Specifically, the system focuses on: 1) Extracting ...
Jie Tang, Jing Zhang, Limin Yao, Juanzi Li, Li Zha...
82
Voted
KDD
2009
ACM
190views Data Mining» more  KDD 2009»
15 years 10 months ago
Efficient influence maximization in social networks
Influence maximization is the problem of finding a small subset of nodes (seed nodes) in a social network that could maximize the spread of influence. In this paper, we study the ...
Wei Chen, Yajun Wang, Siyu Yang
CIKM
2010
Springer
14 years 7 months ago
Mining topic-level influence in heterogeneous networks
Influence is a complex and subtle force that governs the dynamics of social networks as well as the behaviors of involved users. Understanding influence can benefit various applic...
Lu Liu, Jie Tang, Jiawei Han, Meng Jiang, Shiqiang...