黑豹 发表于 2025-3-30 11:38:17
P. Huardanalyses, case number of emerging disease are Granger causality of the popularity level of microblogs and the regression model got the best result when lag was three. By Judgment method, more than 86 % microblogs can be classified correctly. The proposed Judgment method based on user, microblog andInitiative 发表于 2025-3-30 14:37:22
B. Korte,R. Schraderanalyses, case number of emerging disease are Granger causality of the popularity level of microblogs and the regression model got the best result when lag was three. By Judgment method, more than 86 % microblogs can be classified correctly. The proposed Judgment method based on user, microblog andOrnament 发表于 2025-3-30 18:12:49
http://reply.papertrans.cn/71/7033/703228/703228_53.pngliaison 发表于 2025-3-31 00:17:43
E. A. Nurminskianalyses, case number of emerging disease are Granger causality of the popularity level of microblogs and the regression model got the best result when lag was three. By Judgment method, more than 86 % microblogs can be classified correctly. The proposed Judgment method based on user, microblog andsclera 发表于 2025-3-31 03:41:29
Jean-Paul Penotanalysis to profile online individuals. Social position analysis captures the importance or prominence of an individual in social network, and expertise level analysis measures one’s expertise relevance and expertise level. Expert finding on online social can also capture one’s interest in the speci使习惯于 发表于 2025-3-31 08:57:35
S. Schaible,I. Zanganalysis to profile online individuals. Social position analysis captures the importance or prominence of an individual in social network, and expertise level analysis measures one’s expertise relevance and expertise level. Expert finding on online social can also capture one’s interest in the speciGAVEL 发表于 2025-3-31 10:54:24
K. Schittkowskiuence impact factors in social influence evaluation, i.e., Total Trustworthiness (TT), Fluctuant Trend of Being Advisor (FTBA), Fluctuant Trend of Trustworthiness (FTT) and Trustworthiness Area (TA). They are all significant in the influence evaluation. We conduct experiments onto a real social netw压碎 发表于 2025-3-31 17:08:14
P. Spellucciotivated by this finding, we account for the position information of sharing actions to select initiator experts, spreader experts and follower experts, based on corresponding sharing actions. We conduct experiments on the collected dataset to evaluate the performance of these three types of experts