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KDD
2008
ACM
211views Data Mining» more  KDD 2008»
16 years 4 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...
SIGCOMM
2006
ACM
15 years 9 months ago
SybilGuard: defending against sybil attacks via social networks
Peer-to-peer and other decentralized, distributed systems are known to be particularly vulnerable to sybil attacks. In a sybil attack, a malicious user obtains multiple fake ident...
Haifeng Yu, Michael Kaminsky, Phillip B. Gibbons, ...
INFOCOM
2010
IEEE
15 years 2 months ago
P2P Trading in Social Networks: The Value of Staying Connected
—The success of future P2P applications ultimately depends on whether users will contribute their bandwidth, CPU and storage resources to a larger community. In this paper, we pr...
Zhengye Liu, Hao Hu, Yong Liu, Keith W. Ross, Yao ...
PET
2010
Springer
15 years 7 months ago
unFriendly: Multi-party Privacy Risks in Social Networks
Abstract. As the popularity of social networks expands, the information users expose to the public has potentially dangerous implications for individual privacy. While social netwo...
Kurt Thomas, Chris Grier, David M. Nicol
WSDM
2012
ACM
254views Data Mining» more  WSDM 2012»
13 years 11 months ago
Maximizing product adoption in social networks
One of the key objectives of viral marketing is to identify a small set of users in a social network, who when convinced to adopt a product will influence others in the network l...
Smriti Bhagat, Amit Goyal 0002, Laks V. S. Lakshma...