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A Methodology for Integrating Network Theory and Topic Modeling and its Application to Innovation Diffusion.

, and . SocialCom/PASSAT, page 687-692. IEEE Computer Society, (2010)

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How do Moral Values Differ in Tweets on Social Movements?, , and . CSCW Companion, page 347-351. ACM, (2019)Distortive effects of initial-based name disambiguation on measurements of large-scale coauthorship networks., and . J. Assoc. Inf. Sci. Technol., 67 (6): 1446-1461 (2016)Little Bad Concerns: Using Sentiment Analysis to Assess Structural Balance in Communication Networks., and . ASONAM, page 342-348. ACM, (2015)Beyond Citations: Corpus-based Methods for Detecting the Impact of Research Outcomes on Society., , , , , and . LREC, page 6777-6785. European Language Resources Association, (2020)Telling Apart Tweets Associated with Controversial versus Non-Controversial Topics., , , and . NLP+CSS@ACL, page 32-41. Association for Computational Linguistics, (2017)Identifying the Overlap between Election Result and Candidates' Ranking Based on Hashtag-Enhanced, Lexicon-Based Sentiment Analysis., , , and . ICSC, page 93-96. IEEE Computer Society, (2017)Issue-Focused Documentaries versus Other Films: Rating and Type Prediction based on User-Authored Reviews., and . HT, page 225-230. ACM, (2016)Interactive Annotation for Event Modality in Modern Standard and Egyptian Arabic Tweets., , and . LAW@COLING, page 139-148. The Association for Computer Linguistics, (2014)A Unified Framework to Identify and Extract Uncertainty Cues, Holders, and Scopes in One Fell-Swoop., , and . CICLing (1), volume 9041 of Lecture Notes in Computer Science, page 310-334. Springer, (2015)Semantic Social Networks., and . Encyclopedia of Social Network Analysis and Mining. 2nd Ed., Springer, (2018)