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» Data and Structural k-Anonymity in Social Networks
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KDD
2009
ACM
164views Data Mining» more  KDD 2009»
15 years 10 months ago
Social influence analysis in large-scale networks
In large social networks, nodes (users, entities) are influenced by others for various reasons. For example, the colleagues have strong influence on one's work, while the fri...
Jie Tang, Jimeng Sun, Chi Wang, Zi Yang
CIKM
2010
Springer
14 years 8 months ago
Understanding retweeting behaviors in social networks
Retweeting is an important action (behavior) on Twitter, indicating the behavior that users re-post microblogs of their friends. While much work has been conducted for mining text...
Zi Yang, Jingyi Guo, Keke Cai, Jie Tang, Juanzi Li...
110
Voted
WWW
2010
ACM
15 years 4 months ago
Inferring relevant social networks from interpersonal communication
Researchers increasingly use electronic communication data to construct and study large social networks, effectively inferring unobserved ties (e.g. i is connected to j) from obs...
Munmun De Choudhury, Winter A. Mason, Jake M. Hofm...
101
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CGF
2010
121views more  CGF 2010»
14 years 9 months ago
GraphDice: A System for Exploring Multivariate Social Networks
Social networks collected by historians or sociologists typically have a large number of actors and edge attributes. Applying social network analysis (SNA) algorithms to these net...
Anastasia Bezerianos, Fanny Chevalier, Pierre Drag...
CIDM
2007
IEEE
15 years 4 months ago
Structure Prediction in Temporal Networks using Frequent Subgraphs
— There are several types of processes which can be modeled explicitly by recording the interactions between a set of actors over time. In such applications, a common objective i...
Mayank Lahiri, Tanya Y. Berger-Wolf