Complex Networks and Systems
Research in complex networks and systems is carried out by an interdisciplinary team of physicists, biologists, psychologists, linguists, cognitive, information, and computer scientists, emphasizing collaborations with other research groups within the university, and at other institutions in the US and abroad.
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 reactions in biochemistry; developing models for the spread of diseases; 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. The outcome of such interactions can often be understood only through mathematical and computational models.
Faculty in this area include:
YongYeol Ahn, Randall Beer, Johan Bollen, Katy Börner, Ying Ding, Alessandro Flammini, Santo Fortunato, Matthew Francisco, Eduardo Izquierdo, Vikram Jadhao, Filippo Menczer, Staša Milojevic, John Paolillo, Sameer Patil, Filippo Radicchi, Luis Rocha, Peter Todd