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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence, 30 / No. 1: Thirtieth AAAI Conference On Artificial Intelligence

Tracking Idea Flows between Social Groups

March 8, 2023

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Authors

Yangxin Zhong

Tsinghua University


Shixia Liu

Tsinghua University


Xiting Wang

Tsinghua University


Jiannan Xiao

Tsinghua University


Yangqiu Song

West Virginia University


DOI:

10.1609/aaai.v30i1.10163


Abstract:

In many applications, ideas that are described by a set of words often flow between different groups. To facilitate users in analyzing the flow, we present a method to model the flow behaviors that aims at identifying the lead-lag relationships between word clusters of different user groups. In particular, an improved Bayesian conditional cointegration based on dynamic time warping is employed to learn links between words in different groups. A tensor-based technique is developed to cluster these linked words into different clusters (ideas) and track the flow of ideas. The main feature of the tensor representation is that we introduce two additional dimensions to represent both time and lead-lag relationships. Experiments on both synthetic and real datasets show that our method is more effective than methods based on traditional clustering techniques and achieves better accuracy. A case study was conducted to demonstrate the usefulness of our method in helping users understand the flow of ideas between different user groups on social media.

Topics: AAAI

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HOW TO CITE:

Yangxin Zhong|| Shixia Liu|| Xiting Wang|| Jiannan Xiao|| Yangqiu Song Tracking Idea Flows between Social Groups Proceedings of the AAAI Conference on Artificial Intelligence, 30 (2016) .

Yangxin Zhong|| Shixia Liu|| Xiting Wang|| Jiannan Xiao|| Yangqiu Song Tracking Idea Flows between Social Groups AAAI 2016, .

Yangxin Zhong|| Shixia Liu|| Xiting Wang|| Jiannan Xiao|| Yangqiu Song (2016). Tracking Idea Flows between Social Groups. Proceedings of the AAAI Conference on Artificial Intelligence, 30, .

Yangxin Zhong|| Shixia Liu|| Xiting Wang|| Jiannan Xiao|| Yangqiu Song. Tracking Idea Flows between Social Groups. Proceedings of the AAAI Conference on Artificial Intelligence, 30 2016 p..

Yangxin Zhong|| Shixia Liu|| Xiting Wang|| Jiannan Xiao|| Yangqiu Song. 2016. Tracking Idea Flows between Social Groups. "Proceedings of the AAAI Conference on Artificial Intelligence, 30". .

Yangxin Zhong|| Shixia Liu|| Xiting Wang|| Jiannan Xiao|| Yangqiu Song. (2016) "Tracking Idea Flows between Social Groups", Proceedings of the AAAI Conference on Artificial Intelligence, 30, p.

Yangxin Zhong|| Shixia Liu|| Xiting Wang|| Jiannan Xiao|| Yangqiu Song, "Tracking Idea Flows between Social Groups", AAAI, p., 2016.

Yangxin Zhong|| Shixia Liu|| Xiting Wang|| Jiannan Xiao|| Yangqiu Song. "Tracking Idea Flows between Social Groups". Proceedings of the AAAI Conference on Artificial Intelligence, 30, 2016, p..

Yangxin Zhong|| Shixia Liu|| Xiting Wang|| Jiannan Xiao|| Yangqiu Song. "Tracking Idea Flows between Social Groups". Proceedings of the AAAI Conference on Artificial Intelligence, 30, (2016): .

Yangxin Zhong|| Shixia Liu|| Xiting Wang|| Jiannan Xiao|| Yangqiu Song. Tracking Idea Flows between Social Groups. AAAI[Internet]. 2016[cited 2023]; .


ISSN: 2374-3468


Published by AAAI Press, Palo Alto, California USA
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