The 3rd International Workshop on Mining Actionable Insights from Social Networks

BAGHERI, EBRAHIM; KISELEVA, JULIA; ARMENTANO, MARCELO G.; TAKES, FRANK W.

Santa Clara

Conferencia; The 2019 ACM SIGIR International Conference on the Theory of Information Retrieval (ICTIR '19); 2019

Association of Computer Machinery (ACM)

A lot of research in social network mining is concerned with theories and methodologies for community discovery, pattern detection and network evolution, as well as behavioural analysis and anomaly (misbehaviour) detection. The MAISoN workshop focuses on the use of social network data and methods for building predictive models that can be used to uncover hidden and unexpected aspects of user-generated content in order to extract actionable insights. The objective is to explore ways in which insights can be transformed into effective actions that can help organizations improve and refine their activities. Thus, the focus is on social network analysis and mining techniques for gaining actionable real-world insights. The 3rd International Workshop on Mining Actionable Insights from Social Networks (MAISoN 2019) was a half day workshop co-located with ICTIR 2019, the 5th ACM SIGIR International Conference on the Theory of Information Retrieval which took place from October 2 to 5, 2019 in Santa Clara, California, United States.