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Who Should Be Invited to My Party: A Size-Constrained k-Core Problem in Social Networks.

, , , , , and . J. Comput. Sci. Technol., 34 (1): 170-184 (2019)

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Efficient Online Summarization of Large-Scale Dynamic Networks., , , and . IEEE Trans. Knowl. Data Eng., 28 (12): 3231-3245 (2016)Learning to Find Topic Experts in Twitter via Different Relations., , , , and . IEEE Trans. Knowl. Data Eng., 28 (7): 1764-1778 (2016)Predicting User's Political Party Using Ideological Stances., , , , and . SocInfo, volume 8238 of Lecture Notes in Computer Science, page 177-191. Springer, (2013)Detecting Extreme Rank Anomalous Collections., , , and . SDM, page 883-894. SIAM / Omnipress, (2012)Social Stream Classification with Emerging New Labels., , , , and . PAKDD (1), volume 10937 of Lecture Notes in Computer Science, page 16-28. Springer, (2018)The Role of Different Tie Strength in Disseminating Different Topics on a Microblog., , , and . ASONAM, page 203-207. ACM, (2017)Mining Colossal Frequent Patterns by Core Pattern Fusion., , , , and . ICDE, page 706-715. IEEE Computer Society, (2007)Personal Credit Profiling via Latent User Behavior Dimensions on Social Media., , , , , , and . PAKDD (2), volume 9652 of Lecture Notes in Computer Science, page 130-142. Springer, (2016)Detecting Anomalies in Bipartite Graphs with Mutual Dependency Principles., , , and . ICDM, page 171-180. IEEE Computer Society, (2012)Deep Knowledge Tracing and Dynamic Student Classification for Knowledge Tracing., , , , and . ICDM, page 1182-1187. IEEE Computer Society, (2018)