The Center for Complex Networks and Systems Research (CNetS) is part of the School of Informatics and Computing, the Pervasive Technology Institute, and the Network Science Institute of Indiana University. The center supports and enhances the research efforts of the complex systems group, which has been active within the School since 2004. CNetS is meant to foster interdisciplinary research in all areas related to complex networks and systems. On this website you can find information on CNetS faculty, research groups, and their activities.



CNetS researcher studies percolation in real interdependent networks


Our understanding of how catastrophe propagates in multi-layered networks relies on theories that apply only to infinite systems. As a paper published in Nature Physics by Filippo Radicchi demonstrates, reducing an interconnected network of finite size to a multiset of decoupled graphs provides a route to understanding catastrophic events in real systems.

CNetS research at CCS’15


Big success for CNetS researchers at the Conference on Complex Systems (CCS’15)! Here are the accepted talks from our center:

  1. Computational fact checking from knowledge networks by Giovanni Luca Ciampaglia, Prashant Shiralkar, Johan Bollen, Luis M Rocha, Filippo Menczer and Alessandro Flammini
  2. Control of complex networks requires structure and dynamics by Alexander Gates and Luis M. Rocha
  3. Darwin’s Semantic Voyage by Jaimie Murdock, Simon DeDeo, and Colin Allen
  4. Defining and Identifying Sleeping Beauties in Science by Qing Ke, Emilio Ferrara, Filippo Radicchi and Alessandro Flammini
  5. Detecting conflict in social unrest using Instagram by Rion Brattig Correia, Kwan Nok Chan and Luis M. Rocha
  6. Detecting Campaigns in Social Media by Onur Varol, Emilio Ferrara, Filippo Menczer and Alessandro Flammini
  7. Discourse Polarization in the US Congress by Rion Brattig Correia, Kwan Nok Chan and Luis M. Rocha
  8. Eigenmood Twitter Analysis: measuring collective mood variation by Ian B. Wood, Joana Gonçalves-Sá, Johan Bollen and Luis M. Rocha
  9. Evolution of Online User Behavior During a Social Upheaval by Onur Varol, Emilio Ferrara, Christine Ogan, Filippo Menczer and Alessandro Flammini
  10. How human perception of the urban environment influences the abandonment process by Stefani Crabstree, Simon DeDeo
  11. Information theoretic structures of the French Revolution by Alexander Barron, Simon DeDeo, and Rebecca Spang
  12. Measuring Emotional Contagion in Online Social Networks by Zeyao Yang, Emilio Ferrara
  13. Modularity and the Spread of Perturbations in Complex Dynamical Systems by Artemy Kolchinsky, Alexander J. Gates and Luis M. Rocha
  14. On Predictability of Rare Events Leveraging Social Media by Lei Le, Emilio Ferrara and Alessandro Flammini
  15. Optimal network modularity for information diffusion by Azadeh Nematzadeh, Emilio Ferrara, Alessandro Flammini and Yong-Yeol Ahn
  16. Redundancy and control in complex networks by Luis Rocha
  17. The Rise of Social Bots in Online Social Networks by Emilio Ferrara, Onur Varol, Prashant Shiralkar, Clayton Davis, Filippo Menczer and Alessandro Flammini

In addition, CNetS researchers presented several papers at the recent NetSci, ICCSS, CAP 2015, CSCW, YTH Live, WWW, and ICCS conferences. Congratulations!

CNetS researchers study sleeping beauties

476706_w296Why do some research papers remain dormant for years and then suddenly explode with great impact upon the scientific community? These “sleeping beauties” are the subject of a new study by CNetS researchers Qing KeEmilio FerraraFilippo Radicchi, and Alessandro Flammini published in the Proceedings of the National Academy of Sciences. The study provides empirical evidence that a paper can truly be ahead of its time. A ‘premature’ topic may fail to attract attention even when it is introduced by authors who have already established a strong scientific reputation. The authors show that sleeping beauties can be dormant for many decades, and are more common than previously thought. The findings have been covered by media such as Nature and The New York Times. More…

CNetS team winner in LinkedIn Economic Graph Challenge

The CNetS team

The CNetS team

LinkedIn announced that YY Ahn and his team of Ph.D. students from the Center for Complex Networks and Systems Research, including Yizhi Jing, Adazeh Nematzadeh, Jaehyuk Park, and Ian Wood, is one of the 11 winners of the LinkedIn Economic Graph Challenge.

Their project, “Forecasting large-scale industrial evolution,” aims to understand the macro-evolution of industries to track businesses and emerging skills. This data would be used to forecast economic trends and guide professionals toward promising career paths.

“This is a fascinating opportunity to study the network of industries and people with unprecedented details and size. All of us are very excited to collaborate with LinkedIn and our LinkedIn mentor, Mike Conover, who is a recent Informatics PhD alumnus, on this topic,” said Ahn. Read more…

Indiana University Network Science Institute


IUNI announcement in Science magazine

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.

We’re hiring!

faculty hiring at

The School of Informatics and Computing (SoIC) at Indiana University Bloomington invites applications by Dec 1, 2014 for an asst/assoc/full professor position in complex networks and systems, in the Informatics Division, to begin in August 2015. The position is expected to be filled at the senior level, but outstanding junior candidates will be considered.

Applications are especially encouraged from established leaders, who will have opportunities for leadership roles in the Center for Complex Networks and Systems and in the ambitious, university-wide Network Science Institute that was recently announced.

Applicants should have an established record (senior level) or demonstrable potential for excellence (junior level) in research and teaching, and a Ph.D. in a relevant area, or (junior level) expected by 8/2015.

The SoIC is the first of its kind and among the largest in the country, with unsurpassed breadth. Its mission is to excel and lead in education, research, and outreach spanning and integrating the full breadth of computing and information technology. It includes Computer Science, Informatics, and Library and Information Science, with over 85 tenure-line faculty, 900 graduate students, and 1100 undergraduate majors. It offers Ph.D.s in Computer Science, Informatics, and Information Science.

The SoIC Center for Complex Networks and Systems Research currently has 10 faculty members with strong ties to several other units at Indiana University that pursue research in the field of Complex Systems, including Cognitive Science, Psychology, Physics, Sociology, Political Science, Biocomplexity, and Information Science. Center faculty research areas include complex information and social networks, data science, Web science, social computing, computational biology, robotics, computational intelligence, bio-inspired computing, large scale data modeling and simulation, and science of science & innovation. We are particularly interested in strengthening our emphasis on data-driven exploration and modeling of networks, social systems, and their dynamics.

Bloomington is a culturally thriving college town with a moderate cost of living and the amenities for an active lifestyle. IU is renowned for its top-ranked music school, high-performance computing and networking facilities, and performing and fine arts.

NIH Project to study Drug-Drug Interaction

Prof. Luis Rocha from CNETS at IU Bloomington, Prof. Lang Li from IUPUI Medical School, and Prof. Hagit Shatkay from the University of Delaware have been awarded a four-year, $1.7M grant from NIH/NLM to study the large-scale extraction of drug-Interaction from medical text. Drug-drug interaction (DDI) leads to adverse drug reactions, emergency room visits and hospitalization, thus posing a major challenge to public health. To circumvent risk to patients, and to expedite biomedical research, both clinicians and biologists must have access to all available knowledge about potential DDI, and understand both causes and consequences of such interactions. However, mere identification of interactions does not directly support such understanding, as evidence for DDI varies broadly, from reports of molecular interactions in basic-science journals, to clinical descriptions of adverse-effects in a myriad of medical publications. This project will develop tools that focus directly on large-scale identification and gathering of various types of reliable experimental evidence of DDI from diverse sources. The successful completion of the project will provide clinicians and biologists with substantiated knowledge about drug interactions and with informatics tools to obtain such information on a large-scale, laying the basis for preventing adverse drug reactions and for exploring alternative treatments.