Title :
Identifying Influential Actors in Social Network Platforms
Author :
Qin Liu;Zhongwei Ma;Xiaowen Yang;Hongming Zhu
Author_Institution :
Sch. of Software Eng., Tongji Univ., Shanghai, China
Abstract :
Entertainment industry growing very fast, as an essential pillar, actors become more and more influential. An effective influence model will help investors a lot. In this paper, we propose SPIA influence model, considering actors´ both social influence and professional influence. In this way we can choose the most influential actors with no obvious shortcomings. We take Sina Weibo, the largest micro-blogging platform in China, and Douban Movie, the most popular movie community in China, two platforms as background data. We form a graph with their information to combine social and professional influence together, which is the fundamental of SPIA influence model. We try to check the efficiency of SPIA influence model by using of Spearman´s Rank Correlation Coefficient with Forbes celebrity list. After a series of experiments, we think SPIA influence can merge actors´ social influence and professional influence well, and help to choose the most influential actors.
Keywords :
"Motion pictures","Silicon","Nickel","Correlation","Internet","Indexes","Social network services"
Conference_Titel :
Computational Intelligence and Security (CIS), 2015 11th International Conference on
DOI :
10.1109/CIS.2015.62