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News and Updates from the Social Media Research Foundation - 2017 Issue 1
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Featured NodeXL Network: 100 Fontes sobre Pesquisa e Monitoramento de Mídias Sociais |
This month's featured network is based on a NodeXL userlist analysis created from 100 Sources on Research and Monitoring in Social Media provided by the Brazilian Institute of Research and Data Analysis. This network shows the interactions between the 93 Twitter users mentioned in that document. The most popular URL in the network is the article 16 Striking findings from 2016 from PEW Research. Look at the map and report in NodeXL Graph Gallery to find out more details. |
NodeXL Tweet of the Month
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Featured NodeXL PublicationA Graph Based Framework for Malicious Insider Threat Detection Authors: Anagi Gamachchi, Li Sun and Serdar Boztas In: Proceedings of the 50th Hawaii International Conference on System Sciences 2017 Abstract: While most security projects have focused on fending off attacks coming from outside the organizational boundaries, a real threat has arisen from the people who are inside those perimeter protections. Insider threats have shown their power by hugely affecting national security, financial stability, and the privacy of many thousands of people. What is in the news is the tip of the iceberg, with much more going on under the radar, and some threats never being detected. We propose a hybrid framework based on graphical analysis and anomaly detection approaches, to combat this severe cyber security threat. Our framework analyzes heterogeneous data in isolating possible malicious users hiding behind others. Empirical results reveal this framework to be effective in distinguishing the majority of users who demonstrate typical behavior from the minority of users who show suspicious behavior. |
Many more publications that make use of NodeXL can be found here. Your NodeXL publications can be presented in our future Social Media Research Foundation newsletters. |
Worth a look: NodeXL around the WebHow We Use Twitter Part 1 and How We Use Twitter Part 2 Top 10 Data Analytics Tools Top Ten #ddj: The Week’s Most Popular Data Journalism Links
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