Sciweavers

74 search results - page 3 / 15
» Sequential Influence Models in Social Networks
Sort
View
MM
2009
ACM
178views Multimedia» more  MM 2009»
13 years 10 months ago
Automatic role recognition in multiparty recordings using social networks and probabilistic sequential models
The automatic analysis of social interactions is attracting significant interest in the multimedia community. This work addresses one of the most important aspects of the problem...
Sarah Favre, Alfred Dielmann, Alessandro Vinciarel...
KDD
2009
ACM
164views Data Mining» more  KDD 2009»
14 years 6 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
13 years 3 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...
SODA
2008
ACM
184views Algorithms» more  SODA 2008»
13 years 7 months ago
On the approximability of influence in social networks
In this paper, we study the spread of influence through a social network, in a model initially studied by Kempe, Kleinberg and Tardos [14, 15]: We are given a graph modeling a soc...
Ning Chen
KDD
2003
ACM
269views Data Mining» more  KDD 2003»
14 years 6 months ago
Maximizing the spread of influence through a social network
Models for the processes by which ideas and influence propagate through a social network have been studied in a number of domains, including the diffusion of medical and technolog...
David Kempe, Jon M. Kleinberg, Éva Tardos