TedGram: Twitter Event Detection using Graph-based Methods

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Akhgari Zahra; Maleki majd Marzieh; RAHMANI HOSSEIN

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Seminar Paper

Paper Information

Seminar: INTERNATIONAL CONFERENCE ON WEB RESEARCH
Year:2022 | Issue:8

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Title

TedGram: Twitter Event Detection using Graph-based Methods

Author(s)

Akhgari Zahra | Maleki majd Marzieh | RAHMANI HOSSEIN

Keywords

Twitter

Event Detection

Word Embedding

Interaction Graph

Online Community Detection

Abstract

The proliferation of social networks has made researchers turn to the analysis of these networks. Event Detection is one of the important topics in the analysis of social networks, especially Twitter. In this paper, we propose an online graph-based approach, called TedGram, for Event Detection in Twitter using Word Embedding techniques and graph partitioning algorithms. In the TedGram model, for each incoming tweet, candidate tweets are gathered from preceding tweets using co-occurrence in entities keywords, and correspondingly the similarity between tweets are computed using the Word Mover’ s Distance (WMD) algorithm and pre-trained word2vec model. In this regard, the TTI (Tweet Tweet Interaction) graph is computed and updated using an online greedy community detection method based on the Barabá si– Albert generative model. Furthermore, we utilize Latent Dirichlet Allocation (LDA) and WMD to combine duplicate communities for detecting and merging duplicate events. Our proposed method is applied to a sample of the Event2012 dataset and is evaluated regarding Precision, Recall, and F-score. The experimental results show that TedGram performs well against the existing methods.

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APA: Copy

Akhgari, Zahra, Maleki majd, Marzieh, & RAHMANI, HOSSEIN. (2022). TedGram: Twitter Event Detection using Graph-based Methods. INTERNATIONAL CONFERENCE ON WEB RESEARCH. SID. https://sid.ir/paper/949620/en

Vancouver: Copy

Akhgari Zahra, Maleki majd Marzieh, RAHMANI HOSSEIN. TedGram: Twitter Event Detection using Graph-based Methods. 2022. Available from: https://sid.ir/paper/949620/en

IEEE: Copy

Zahra Akhgari, Marzieh Maleki majd, and HOSSEIN RAHMANI, “TedGram: Twitter Event Detection using Graph-based Methods,” presented at the INTERNATIONAL CONFERENCE ON WEB RESEARCH. 2022, [Online]. Available: https://sid.ir/paper/949620/en

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