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分析移动应用扩散与社交网络的共同演化:一种多智能体模型

Analyzing the Coevolution of Mobile Application Diffusion and Social Network: A Multi-Agent Model.

作者信息

Zhang Zhenyu, Zhang Huirong, Zhou Lixin, Li Yanfeng

机构信息

School of Automation, Nanjing University of Science and Technology, Nanjing 210094, China.

School of Labor Relationship, Shandong Management University, Jinan 250357, China.

出版信息

Entropy (Basel). 2021 Apr 24;23(5):521. doi: 10.3390/e23050521.

DOI:10.3390/e23050521
PMID:33923248
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8146323/
Abstract

The successful diffusion of mobile applications in user groups can establish a good image for enterprises, gain a good reputation, fight for market share, and create commercial profits. Thus, it is of great significance for the successful diffusion of mobile applications to study mobile application diffusion and social network coevolution. Firstly, combined with a social network's dynamic change characteristics in real life, a mobile application users' social network evolution mechanism was designed. Then, a multi-agent model of the coevolution of a social network and mobile application innovation diffusion was constructed. Finally, the impact of mobile applications' value perception revenue, use cost, marketing promotion investment, and the number of seed users on the coevolution of social network and mobile application diffusion were analyzed. The results show that factors such as the network structure, the perceived value income, the cost of use, the marketing promotion investment, and the number of seed users have an important impact on mobile application diffusion.

摘要

移动应用在用户群体中的成功扩散可以为企业树立良好形象,赢得良好声誉,争夺市场份额并创造商业利润。因此,研究移动应用扩散与社会网络共同演化对于移动应用的成功扩散具有重要意义。首先,结合现实生活中社会网络的动态变化特征,设计了移动应用用户社会网络演化机制。然后,构建了社会网络与移动应用创新扩散共同演化的多智能体模型。最后,分析了移动应用的价值感知收益、使用成本、营销推广投入以及种子用户数量对社会网络与移动应用扩散共同演化的影响。结果表明,网络结构、感知价值收益、使用成本、营销推广投入以及种子用户数量等因素对移动应用扩散具有重要影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5708/8146323/4cfecb3a27d3/entropy-23-00521-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5708/8146323/f4c9a13558ed/entropy-23-00521-g001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5708/8146323/4974a63293f5/entropy-23-00521-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5708/8146323/788ec17c9b61/entropy-23-00521-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5708/8146323/b8c22db3984b/entropy-23-00521-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5708/8146323/69d5eae929cc/entropy-23-00521-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5708/8146323/82eaf5e06249/entropy-23-00521-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5708/8146323/98e8e851e008/entropy-23-00521-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5708/8146323/4cfecb3a27d3/entropy-23-00521-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5708/8146323/f4c9a13558ed/entropy-23-00521-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5708/8146323/53caca0dee7b/entropy-23-00521-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5708/8146323/6ca060e185cb/entropy-23-00521-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5708/8146323/ea6ebdde3ef1/entropy-23-00521-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5708/8146323/2c01b23250eb/entropy-23-00521-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5708/8146323/5977c7843af8/entropy-23-00521-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5708/8146323/4974a63293f5/entropy-23-00521-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5708/8146323/788ec17c9b61/entropy-23-00521-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5708/8146323/b8c22db3984b/entropy-23-00521-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5708/8146323/69d5eae929cc/entropy-23-00521-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5708/8146323/82eaf5e06249/entropy-23-00521-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5708/8146323/98e8e851e008/entropy-23-00521-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5708/8146323/4cfecb3a27d3/entropy-23-00521-g013.jpg

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