Abstract: In this paper, we proposed an agent-based model for analyzing dynamic social network associated to textual information using author-topic model, namely Textual-ABM. Author-topic model is chosen to estimate topic’s distribution transformation of agents in the agent-based model since it models the content of documents and also interests of authors. Textual-ABM can be utilized to discover dynamic of a social network which includes not only network structure but also node’s properties over time. Furthermore, we introduced independent cascade mo...
(read more)
Topics: 
Information retrieval
Data mining
Artificial intelligence