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An Examination of a Novel Information Diffusion Model: Considering of Twitter User and Twitter System Features.

, , , and . AAMAS Workshops (Selected Papers), volume 10002 of Lecture Notes in Computer Science, page 180-191. (2016)

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Information sharing on Twitter during the 2011 catastrophic earthquake., , , , , and . WWW (Companion Volume), page 1025-1028. International World Wide Web Conferences Steering Committee / ACM, (2013)Empirical Study of Conversational Community Using Linguistic Expression and Profile Information., , , and . AMT, volume 8610 of Lecture Notes in Computer Science, page 286-298. Springer, (2014)Classification Method for Shared Information on Twitter Without Text Data., , , , , , and . WWW (Companion Volume), page 1173-1178. ACM, (2015)Retrospective analysis of controversial topics on COVID-19 in Japan., , , , and . ASONAM, page 510-517. ACM, (2021)Constructive Approach for Early Extraction of Viral Spreading Social Issues from Twitter., , , , , , and . WebSci, page 96-105. ACM, (2020)How to Become Famous in the Microblog World., and . ICWSM, The AAAI Press, (2010)Anti-vaccine rabbit hole leads to political representation: the case of Twitter in Japan., , , and . J. Comput. Soc. Sci., 7 (1): 405-423 (April 2024)Graph-based Word Clustering using a Web Search Engine., , , and . EMNLP, page 542-550. ACL, (2006)Improved Advertisement Targeting via Fine-grained Location Prediction using Twitter., , and . WWW (Companion Volume), page 527-532. ACM / IW3C2, (2020)Construction of Evaluation Datasets for Trend Forecasting Studies., , and . ICWSM, page 1041-1051. AAAI Press, (2023)