TT-graph: A new model for building social network graphs from texts with time series

作者：

Highlights：

• Proposing a topic model to discover the topic words from time series text.

• Exploiting a new method to evaluate the similarity of text with time series.

• Combining text semantic and time series to build graph without any prior acknowledge.

• Demonstrating the model’s excellent performance in community detection.

摘要

•Proposing a topic model to discover the topic words from time series text.•Exploiting a new method to evaluate the similarity of text with time series.•Combining text semantic and time series to build graph without any prior acknowledge.•Demonstrating the model’s excellent performance in community detection.

论文关键词：Social network graph,Text semantics,Time series,User similarity

论文评审过程：Received 12 March 2021, Revised 4 August 2021, Accepted 11 December 2021, Available online 17 December 2021, Version of Record 22 December 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.116405