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Towards an orthogonality constraint-based feature partitioning approach to classify veracity and identify stance overlapping of rumors on twitter.

, , , and . Expert Syst. Appl., (2022)

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A Large-Scale Study of the Twitter Follower Network to Characterize the Spread of Prescription Drug Abuse Tweets., , , , and . IEEE Trans. Comput. Soc. Syst., 6 (6): 1232-1244 (2019)Smart Association Control in Wireless Mobile Environment Using Max-Flow., , , and . IEEE Trans. Netw. Serv. Manag., 9 (1): 73-86 (2012)Predicting Tomorrow's Headline using Twitter Deliberations., , , , and . CIKM Workshops, volume 2482 of CEUR Workshop Proceedings, CEUR-WS.org, (2018)TAQE: Tweet Retrieval-Based Infrastructure Damage Assessment During Disasters., , , , and . IEEE Trans. Comput. Social Systems, 7 (2): 389-403 (2020)Aggregating inter-app traffic to optimize cellular radio energy consumption on smartphones., , , , and . COMSNETS, page 1-8. IEEE, (2015)Mirroring Hierarchical Attention in Adversary for Crisis Task Identification: COVID-19, Hurricane Irma., , , and . ISCRAM, page 609-620. ISCRAM Digital Library, (2021)EnDSUM: Entropy and Diversity based Disaster Tweet Summarization., , and . Text2Story@ECIR, volume 3117 of CEUR Workshop Proceedings, page 91-96. CEUR-WS.org, (2022)Forecasting Traffic Flow in Big Cities Using Modified Tucker Decomposition., , , , and . ADMA, volume 11323 of Lecture Notes in Computer Science, page 119-128. Springer, (2018)Characterizing Infrastructure Damage After Earthquake: A Split-Query Based IR Approach., , , , and . ASONAM, page 202-209. IEEE Computer Society, (2018)EnDeA: Ensemble based Decoupled Adversarial Learning for Identifying Infrastructure Damage during Disasters., , , , and . CIKM, page 1245-1254. ACM, (2020)