Titlebook: Optimization and Optimal Control; Proceedings of a Con Alfred Auslender,Werner Oettli,Josef Stoer Conference proceedings 1981 Springer-Verl

黑豹

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 and

Initiative

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 and

Ornament

liaison

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 and

sclera

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

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 speci

GAVEL

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

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