Applying Social Network Embedding and Word Embedding for Socialbots Detection-Reference-Cited by-同舟云学术

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Applying Social Network Embedding and Word Embedding for Socialbots Detection

Published:2023-11-06 Issue: Volume:46 Page:712-718
ISSN:
Container-title:Proceedings of the International Conference on Advances in Social Networks Analysis and Mining
language:
Short-container-title:

Author:

Ting I-Hsien¹^ORCID,Minetaki Kazunori²^ORCID,Hsu Mei-Yun³^ORCID,Yen Chia-Sung⁴^ORCID

Affiliation:

1. National University of Kaohsiung, Kaohsiung, Taiwan

2. Kindai University, Osaka, Japan

3. National Museum of Taiwan History, Tainan, Taiwan

4. National Chinyi University of Technology, Taichung, Taiwan

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3625007.3627306

Reference50 articles.

1. Agrawal, R., Rajagopalan, S., Srikant, R., & Xu, Y. (2003). Mining Newsgroups Using Networks Arising From Social Behavior. World Wide Web 2003 Conference, 529--535.

2. Measuring social media influencer index- insights from facebook, Twitter and Instagram

3. S-commerce: Influence of Facebook likes on purchases and recommendations on a linked e-commerce site

4. The Digital Architectures of Social Media: Comparing Political Campaigning on Facebook, Twitter, Instagram, and Snapchat in the 2016 U.S. Election

5. Structural Holes

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