社会网络分析和挖掘专题系列

IF 2.4 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS
Rodrigo Pereira dos Santos, Giseli Rabello Lopes
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引用次数: 2

摘要

社会网络首先在社会、教育和商业领域进行调查。自20世纪中期以来,由于人与人之间的互动、数据的传播和信息的交换日益增多,学术界对这一领域的兴趣一直在增长。因此,社会网络分析与挖掘(SNAM)新技术的开发与评估是当前互联网服务与应用的一个重点研究领域。关键主题包括社会和信息网络的情境化分析、众包和众筹、网络经济学、社会数据的提取和处理、挖掘技术、用户行为和社会网络建模以及软件生态系统。这些主题在学术、政治、安全、商业、营销和科学等领域都有重要的应用领域。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Thematic series on Social Network Analysis and Mining
Social networks were first investigated in social, educational and business areas. Academic interest in this field though has been growing since the mid twentieth century, given the increasing interaction among people, data dissemination and exchange of information. As such, the development and evaluation of new techniques for social network analysis and mining (SNAM) is a current key research area for Internet services and applications. Key topics include contextualized analysis of social and information networks, crowdsourcing and crowdfunding, economics in networks, extraction and treatment of social data, mining techniques, modeling of user behavior and social networks, and software ecosystems. These topics have important areas of application in a wide range of fields, such as academia, politics, security, business, marketing, and science.
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来源期刊
Journal of Internet Services and Applications
Journal of Internet Services and Applications COMPUTER SCIENCE, INFORMATION SYSTEMS-
CiteScore
3.70
自引率
0.00%
发文量
2
审稿时长
13 weeks
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