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Social Network Analysis and Mining
短名 | Soc. Netw. Anal. Min. |
Journal Impact | 2.39 |
国际分区 | COMPUTER SCIENCE, INFORMATION SYSTEMS(Q3) |
ISSN | 1869-5450, 1869-5469 |
h-index | 48 |
《Social Network Analysis and Mining》是一本多学科期刊,服务于学术界和工业界的研究人员和从业者。它是计算机科学、网络科学、社会科学、数学科学、医学和生物科学、金融、管理和政治科学等领域研究者和读者的主要交流平台。我们欢迎关于社会网络分析和挖掘的实验和理论研究,采用来自社会科学、数学、统计学、物理学、网络科学和计算机科学的多种技术。期刊主要涵盖以下几个领域:(1) 数据挖掘在社区发现和分析、个性化孤立活动(如搜索)和社交活动(如潜在朋友的发现)、用户在开放论坛(如传统网站、博客和论坛)及商业平台(如电子拍卖)中的行为分析,以及相关的安全和隐私保护挑战方面的进展;(2) 社会网络建模、可扩展和可定制的社会网络基础设施的构建、使用机器学习和数据挖掘方法或多智能体模拟识别和发现复杂、动态、增长和演变模式;(3) 社会网络分析和挖掘在开放源智能和国家安全中的应用。论文应详细阐述数据挖掘和机器学习或相关方法,涉及数据准备和模式解释的问题,包括常规数据(使用日志、查询日志、文档集合)和多媒体数据(图片及其注释、多通道使用数据)。主题包括但不限于:社会网络在商业工程、科学和医学领域、国家安全、恐怖主义和犯罪学、欺诈检测、公共部门、政治及案例研究中的应用。
期刊主页阅读文献时,研飞即可帮你快速了解期刊,查询影响因子与分区,智能高亮期刊预警!
涉及主题 | 计算机科学政治学万维网法学数学人工智能社会化媒体机器学习物理工程类数据科学哲学程序设计语言统计心理学操作系统数据挖掘经济社会学组合数学量子力学生物情报检索社交网络(社会语言学)理论计算机科学社会科学 |
出版信息 | 出版商: Springer-Verlag Wien,出版周期: ,期刊类型: journal |
基本数据 | 创刊年份: 2011,原创研究文献占比: 91.98%,自引率:8.70%, Gold OA占比: 23.36% |
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