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.… Read the rest
At the North American Regional Social Networks (NASN) Conference of the International Network for Social Network Analysis (INSNA) in Washington, D.C., Contractor spoke as a panel member to discuss common and complementary themes, approaches, and open problems across the major field of network sciences — primarily focussing on the bridges between social network analysis (SNA) and network science (NS), but also addressing other fields such as complex systems (CS), computational social science (CSS) and areas of computer and information sciences (CS, IS). … Read the rest
Nov 28, 2018 – SONIC summer intern, Cameron DeChurch, presented at the North American Regional Social Networks (NASN) Conference of the International Network for Social Network Analysis (INSNA) today. This summer he used historical records to construct digital networks of the collaboration among Florentine Renaissance painters.… Read the rest
Professor Krackhardt of Carnegie Mellon guest lectured the Master of Science in Analytic’s class. Krackhard pioneered the concept of “cognitive social structures.” In the lecture, he shared some of his case studies and discussed how an individual’s power can be measured according to his/her position in the whole network structure.… Read the rest
Alina presented the paper, “Deep Space Collaboration: Impact of Communication Latency on Collaborative Work” at the NCA 104th Annual Convention in Salt Lake City, UT.
Citation:
Lungeanu, A., Park, P., DeChurch, L. A., & Contractor, N. S. (2018, November). Deep Space Collaboration: Impact of Latency and Social Networks on Collaborative Work.… Read the rest
By Giovanni Luca Ciampaglia, Azadeh Nematzadeh, Filippo Menczer & Alessandro Flammini
Algorithms that favor popular items are used to help us select among many choices, from top-ranked search engine results to highly-cited scientific papers. The goal of these algorithms is to identify high-quality items such as reliable news, credible information sources, and important discoveries–in short, high-quality content should rank at the top.
Research Assistant Professor Alina Lungeanu joins Network Science Institute at Northeastern University, Boston MA as visiting faculty starting Fall 2018. Congratulations Alina!
Link: https://www.networkscienceinstitute.org/people/alina-lungeanu… Read the rest
This past weekend over 35 scholars at leading-edge brain science and social network gathered for the 9th annual ANN-SONIC-NICO Network Theory Workshop under the theme of “Brain Science and Social Networks.” The workshop was held at Northwestern’s Kellogg Global Hub and sponsored by the Annenberg Networks Network (ANN), Science of Networks in Communities (SONIC), Northwestern Institute on Complex Systems (NICO), and the Army Research Office (ARO).… Read the rest
Noshir Contractor along with SONIC Affiliated Faculty, Paul Leonardi, publish, “Better People Analytics – Measure who they know, not just who they are ” in Harvard Business Review.
Citation: Leonardi, P., & Contractor, N. S. (2018, Nov-Dec). Better People Analytics: Measure who they know, not just who they are.… Read the rest