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1 H. He, "Tree-Based Mining for Discovering Patterns of Re-posting Behavior in microblog" 372-384, 2013
2 Bo Xiao, "SMK-means : An Improved Mini Batch K-means Algorithm Based on Mapreduce with Big Data" 56 (56): 365-379, 2018
3 I. Cohen, "Pearson Correlation Coefficient" 2 : 1-4, 2009
4 Z. Y. Ding, "Measuring the spreadability of users in microblogs" 14 (14): 701-710, 2013
5 T. Schreiber, "Measuring information transfer" 85 (85): 461-464, 2000
6 D. Kempe, "Maximizing the spread of influence through a social network" 137-146, 2003
7 D. M. Blei, "Latent dirichlet allocation" 993 (993): 993-1022, 2003
8 S. C. Johnson, "Hierarchical clustering schemes" 32 (32): 241-254, 1967
9 P. P. Rodrigues, "Hierarchical Clustering of Time-Series Data Streams" 20 (20): 615-627, 2008
10 L. Barnett, "Granger causality and transfer entropy are equivalent for Gaussian variablesc" 103 (103): 238701-238701, 2009
11 Seth A, "Granger causality" 2 (2): 1667-1667, 2007
12 T. L. Griffiths, "Finding scientific topics" 101 (101): 5228-5235, 2004
13 Di Shang, "Examining the Impacts of Key Influencers on Community Development" 61 (61): 1-10, 2019
14 E. Bakshy E, "Everyone's an influencer : quantify-ing influence on twitter" 65-74, 2011
15 Kai Dong, "Estimating the Number of Posts in Sina Weibo" 58 (58): 197-213, 2019
16 Zheng Yongguang, "Efficient key user selection method in large-scale social networks" 37 (37): 3101-3106, 2017
17 Ziqi Tang, "Disseminating Quality-Based Analysis of microblog Users' Influencing Ability" 499-514, 2018
18 T. Bossomaier, "An Introduction to Trans-fer Entropy" 65-95, 2016
19 Yong Hua, "An Influence Maximization Algorithm Based on the Mixed Importance of Nodes" 59 (59): 517-531, 2019