Wanxia Yang1,*, Sadaqatur Rehman2, Wenhui Que3
Intelligent Automation & Soft Computing, Vol.26, No.6, pp. 1561-1574, 2020, DOI:10.32604/iasc.2020.012480
Abstract Identifying event-specific opinion leaders is essential for understanding
event developments and influencing public opinion. News articles are informative
and formal in expression, and include valuable information on specific events. In
this paper, we propose an improved variant of LeaderRank, called local weighted
LeaderRank, to measure the event-specific influence of person nodes in a weighted
and undirected person cooccurrence network constructed using news articles
related to a specific event. Our proposed method measures the influence of person
nodes by considering both the cooccurrence strength between persons, and
additional local link weight information for each local person More >
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