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

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

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来源期刊

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

CiteScore

2.50

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0.00%

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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.

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