Welcome!

Yuanxin Wang is a visiting scholar from Peking University. She will be working on the Enterprise Social Media project, and her research interests include social media, social network analysis, market and media analysis, and user behavior. She graduated from Beijing Normal University with a B.A. in Communications.

Dongping Zhang is a first-year Ph.D. student in Technology & Social Behavior. His research interests include social network analysis, structural estimation, machine learning, big data, and computational social science. He will be contributing to the Enterprise Social Media project. Dongping graduated from the University of Chicago with an M.A. in Computational Social Science and from UC Berkeley with a B.A. in Statistics and a B.A. in Economics.

Niloufar Izadinia is a second year Ph.D. student in Industrial Engineering and Management Sciences. Her research interests include social network analysis, optimization, and data science. Niloufar will work on the NASA CREWS (Project RED Optimization). She graduated from the University of Technology, Tehran, Iran with an M.S. in Industrial Engineering.

Brent Hoagland finished his M.A. in Social Sciences from the University of Chicago and will support the SONIC and ATLAS labs with administrative and operational research tasks. He plans to continue graduate school in the near future with research interests in economic sociology, social studies of finance & accounting, social network analysis, and sociology of knowledge.

Noshir Contractor and Diego Gómez-Zará, Ph.D. student in Technology and Social Behavior, head to Buenos Aires to present, “Some Assembly Required: Organizing in the 21st Century” at the Argentinian Ministry of Modernization of the Nation.

Generative Modeling of Human Behavior and Social Interactions Using Abductive Analysis

Abstract:

Abduction is an inference approach that uses data and observations to identify plausible (and preferably, best) explanations for phenomena. Applications of abduction (e.g., robotics, genetics, image understanding) have largely been devoid of human behavior. Here, we devise and execute an iterative abductive analysis process that is driven by the social sciences: behaviors and interactions among groups of human subjects. One goal is to understand intra-group cooperation and its effect on fostering collective identity. We build an online game platform; perform and analyze controlled laboratory experiments; form hypotheses; build, exercise, and evaluate network-based agent-based models; and evaluate the hypotheses in multiple abductive iterations, improving our understanding as the process unfolds. While the experimental results are of interest, the paper’s thrust is methodological, and indeed establishes the potential of iterative abductive looping for the (computational) social sciences.

Ren, Y., Cedeno-Mieles, V., Hu, Z., Deng, X., Adiga, A., Barrett, C. L., et al. (2018). Generative Modeling of Human Behavior and Social Interactions Using Abductive Analysis (pp. 1–8). Presented at the International Conference on Advances in Social Network Analysis and Mining, 2009. ASONAM ’09.

Seniors’ usage of mobile social network sites: Applying theories of innovation diffusion and uses and gratifications

On August 11-14, Professor Noshir Contractor and SONIC Alumna Jacqueline Ng presented at the 2018 Academy of Management Conference held in Chicago, Illinois.

Contractor, N. S.
Some Assembly Required: Teaming in the 21st Century.
Paper presented at the Innovations in Teaching Teamwork PDW Workshop

Contractor, N. S.
Multi-theoretical multilevel models of networks.
Paper presented at the Introduction to Social Network Analysis PDW Workshop.

Mukherjee, A., Xiao, P. & Wang, L., & Contractor, N. S.
Does the opinion of the crowd predict success? 
Paper presented at the Crowd and Cloud Session.

Ng, J., & Contractor, N.S.
Social Media & Team Collaboration: How the @mention Feature Facilitates and Constrains Teamwork
Paper presented at AOM.

From the Economic Times:

IIT Madras has tied up with Northwestern University, US, for carrying out broad-based research collaboration in data science, web science, network science and computational social science.

The institutes signed an MoU recently to launch a joint project on the development of features for three web-based software platforms that focus on network-based approaches to facilitate team assembly and processes. Professor Ravindra Gettu, dean (Industrial Consultancy and Sponsored Research), IIT Madras, and Dr. Jonathan Holloway, Provost, Northwestern University, U.S., signed the MoU on behalf of their respective Institutions.
Speaking about the importance of this collaboration, Prof. B. Ravindran, Department of Computer Science and Engineering, IIT Madras, and one of the principal collaborators in this project, said, “The SONIC research group at Northwestern University is a world leader in the field of network science. This MoU will allow us to collaborate closely and work on problems that will have a global impact”

Further, Prof Ravindran added, “The Robert Bosch Centre for Data Science and AI at IIT Madras has a significant expertise in the area of network science and this collaboration is the first of our initiatives to reach out to international partners with similar interests”.

The first project under this collaboration is a web-based platform called “My Dream Team” that focuses on assembling people with harmonising skillsets together. Concretely, these platforms take advantage of the survey and the digital trace data generated through sources like enterprise social media platforms to help recommend potential teammates to an individual or make managerial decisions using features rooted in the theories of network science and machine learning.

The principal collaborators on this project are: Prof. B. Ravindran, Department of Computer Science and Engineering, IIT Madras, and Head, Robert Bosch Center for Data Science and Artificial Intelligence, IIT Madras; and IIT Madras Distinguished Alumnus Prof. Noshir Contractor, Jane S. and William J. White Professor of Behavioural Sciences and Director of the Science of Networks in Communities (SONIC) Research Group at Northwestern University.

Aaron M. Schecter, SONIC alumnus and Ph.D. in Industrial Engineering and Management Science, received the 2018 J. Richard Hackman Award for his Ph.D. dissertation at INGroup 2018. The conference recognizes recent graduate students whose dissertation shows the greatest potential to advance the study of groups.