The new Indiana University Network Science Institute (IUNI) unites 100+ researchers at IU — building on their world-renowned multidisciplinary expertise toward further scientific understanding of the complex networked systems of our world. Through pioneering new approaches in mapping, representing, visualizing, modeling, and analyzing diverse complex networks across levels and disciplines, IUNI will lead the way. We keep track of the big picture — ever-changing and interconnected. We’re laying the groundwork for innovative research and discovery in the area of network science.
The Center for Complex Networks and Systems Research (CNetS) is part of the Indiana University Network Science Institute (IUNI) and the School of Informatics, Computing and Engineering (SICE). The center was established in 2009 to consolidate and enhance the research efforts of the complex systems group, which has been active within the School since 2004.
The mission of CNetS is to foster interdisciplinary research in all areas related to complex networks and systems, computational social science, and data science.
The types of problems that we work on include mining usage and traffic patterns in technological networks such as the Web and the Internet; studying the interaction between social dynamics and online behaviors; modeling the evolution of complex social and technological networks; developing adaptive, distributed, collaborative, agent-based applications for Web search and recommendation; understanding complex biological networks and complex reaction in biochemistry; developing models for the spread of information and misinformation; understanding how coordinated behavior arises from the dynamical interaction of nervous system, body, and environment; studying social human behavior; exploring reasons underlying species diversity; studying the interplay between self-organization and natural selection; understanding how information arises and is used in biological systems; and so on. All these examples are characterized by complex nonlinear feedback mechanisms and it is now being increasingly recognized that the outcome of such interactions can only be understood through mathematical and computational models.
Our center has a very distinguished advisory board:
CNetS embodies mathematicians, physicists, biologists, psychologists, cognitive scientists, information scientists, linguists, and computer scientists, emphasizing lively and multidisciplinary teamwork with other research groups within the university, in the US and abroad. For example, within IU we presently have or have had in the past joint collaborations with the Cognitive Science Program, the Biocomplexity Institute, the Department of Information and Library Science, the Department of Psychological and Brain Sciences, the Data to Insight Center, and other groups within Informatics. Outside IU, CNetS has active collaborations with the Institute for Scientific Interchange in Torino, Italy, the Department of Computer Science at the University of Turin, and the FLAD Computational Biology Collaboratorium at the Instituto Gulbenkian de Ciencia in Lisbon, Portugal. Finally, we have strong collaborative and support ties with Google Research and Yahoo! Research.
IUNI is a member of WSTNet, the Web Science Network of Laboratories established by the Web Science Trust, which combines some of the world’s leading academic researchers in Web Science. We are also academic partners of First Draft, a coalition dedicated to improving skills and standards in the reporting and sharing of information that emerges online. Finally, CNetS is a member of the Gephi Consortium, which supports the development of Gephi, an open source software for the visualization and analysis of large networks in real-time.
CNetS research is funded by a number of agencies, including Lilly Endowment Inc., National Science Foundation, James F. McDonnell Foundation, DARPA, NIH, IU Research, the School of Informatics and Computing, Yahoo, and Google.
CNetS labs and groups have their own lists.
Check out the IUNI lists for discussion, event announcements, and affiliate communications about network science at IU.
I-COMPLEX-L is a mailing list of IU people with a general interest in complex systems. To subscribe, send an email to this address with the subject: subscribe I-COMPLEX-L YourFirstName YourLastName (leave the body of the message empty).