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On the Non-Progressive Spread of Influence through Social Networks
Non-Progressive Social Networks
2011/9/14
The spread of in uence in social networks is studied in two main categories: the progressive model and the non-progressive model (see e.g. the seminal work of Kempe, Kleinberg, and Tardos in KDD 2003)...
Understanding how far information, behaviors, or pathogens spread in social networks is an important problem, having implications for both predicting the size of epidemics, as well as for planning e e...
A Game Theoretical Approach to Broadcast Information Diffusion in Social Networks
Social Network, Game Theory, Knowledge,Popularity, Trust, Reputation, Rumor.
2011/9/15
One major function of social networks (e.g., massive online social networks) is the dissemination of information, such as scientific knowledge, news, and rumors. Information can be propagated by the u...
Modeling Social Networks with Node Attributes using the Multiplicative Attribute Graph Model
Modeling Social Networks Node Multiplicative Attribute Graph Model
2011/9/15
Networks arising from social, technological and natural domains exhibit rich connectivity patterns and nodes in such networks are often labeled with attributes or features. We address the question of ...
Co-evolution of Selection and Influence in Social Networks
Selection and Influence Social Networks
2011/9/14
Many networks are complex dynamical systems, where both attributes of nodes and topology of the network(link structure) can change with time. We propose a
model of co-evolving networks where both nod...