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This paper systematically analyzes the models and processes related to wordof- mouth spreading in social networks. This paper simulates the characteristics and rules of word-of-mouth spreading on social network platforms, adopts network evolution models as well as virus spreading models which can precisely reflect the process of word-of-mouth spreading. By computer simulation, the effect of several kinds of parameters in networks and in wordof- mouth spreading model is analyzed. What has been proved, through parameter analysis, is that the secondary “push” of the key node (opinion leader) in social networks has played a significant role in promoting word-of-mouth spreading. In practical applications, shopkeepers can act appropriately to the situation, which means they put in a second period of advertise appropriately after placing one advertisement at random in order to save costs and increase efficiency.
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篇名 Exploring the Identification and Effects of “Opinion Leader” under Different Information Release Strategies
来源期刊 社交网络(英文) 学科 医学
关键词 SOCIAL Network NODES Influence Online WORD-OF-MOUTH MULTI-AGENT Simulation
年,卷(期) 2018,(3) 所属期刊栏目
研究方向 页码范围 156-169
页数 14页 分类号 R73
字数 语种
DOI
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研究主题发展历程
节点文献
SOCIAL
Network
NODES
Influence
Online
WORD-OF-MOUTH
MULTI-AGENT
Simulation
研究起点
研究来源
研究分支
研究去脉
引文网络交叉学科
相关学者/机构
期刊影响力
社交网络(英文)
季刊
2169-3285
武汉市江夏区汤逊湖北路38号光谷总部空间
出版文献量(篇)
112
总下载数(次)
0
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0
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