A recent article “Betweenness to assess leaders in criminal networks: New evidence using the dual projection approach” by Rosanna Grassi, Francesco Calderoni, and Monica Bianchi show the performance of different betweenness centrality measures in identifying criminal leaders in a meeting participation network. Each of the measures reports different ranking of leaders and dual projection based approaches show better performance compared to traditional betweenness or flow-based measures. Read more:
Koustav Rudra presented his work on “Identifying Sub-events and Summarizing Disaster-Related Information from Microblogs” in The 41st International ACM SIGIR Conference on Research and Development in Information Retrieval. The conference was held at Ann Arbor, Michigan from 8th to 12th July, 2018.
A recent research from West Virginia University shows how to detect opioid addicted people from large structured heterogeneous networks using transductive learning. Check out the paper: https://dl.acm.org/citation.cfm?id=3132857