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| Evolutionary Game Model of Information Interaction in Social Network |
| Li Liu, Junjie Lv, Jingyuan Li, Yuanzhuo Wang |
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Abstract Nowadays, the majority of common people are connected by a variety
of online social network interaction platforms. How can we build a
convincing theoretical model to describe viewpoint evolution
embedded in the user behaviors of information interaction is still
an open question. We apply evolutionary game to analyze user
behavior aspects of information interaction to reveal basic rules
and features of opinion interactions in microblog. We have divided
the users into three different kinds of players with respective
payoff, and the evolutionary game model simulates a group of
individuals participating in a discussion, aiming at persuading
opponents into an agreement. The experiments on a realistic dataset
show that opinion leaders in microblog are a group of people who
will stick their own mind strongly, chatters are easily persuaded
since they may just want certain information to be known, while
general people keep staying in the neutral zone.
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| DOI:10.12733/jics20105684 |
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