Mining the Social Web: Data Mining Facebook, Twitter, LinkedIn, Google+, Github, and More, by Matthew A. Russell

IF 0.5 Q4 COMPUTER SCIENCE, SOFTWARE ENGINEERING

International Journal of Information Security and Privacy Pub Date : 2015-04-03 DOI:10.1080/15536548.2015.1046287

Dehghantanha Ali

引用次数: 10

查看原文本刊更多论文

挖掘社交网络:数据挖掘Facebook, Twitter, LinkedIn, Google+， Github等，作者:Matthew A. Russell

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

International Journal of Information Security and Privacy COMPUTER SCIENCE, SOFTWARE ENGINEERING-

CiteScore

2.50

自引率

0.00%

发文量

期刊介绍： As information technology and the Internet become more and more ubiquitous and pervasive in our daily lives, there is an essential need for a more thorough understanding of information security and privacy issues and concerns. The International Journal of Information Security and Privacy (IJISP) creates and fosters a forum where research in the theory and practice of information security and privacy is advanced. IJISP publishes high quality papers dealing with a wide range of issues, ranging from technical, legal, regulatory, organizational, managerial, cultural, ethical and human aspects of information security and privacy, through a balanced mix of theoretical and empirical research articles, case studies, book reviews, tutorials, and editorials. This journal encourages submission of manuscripts that present research frameworks, methods, methodologies, theory development and validation, case studies, simulation results and analysis, technological architectures, infrastructure issues in design, and implementation and maintenance of secure and privacy preserving initiatives.