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| International Conference on Complex Networks | |
|---|---|
| Name | International Conference on Complex Networks |
| Status | Active |
| Genre | Academic conference |
| Frequency | Annual |
| First | 2010 |
| Discipline | Network science |
| Organizer | Complex Systems Society |
| Country | Various |
International Conference on Complex Networks The International Conference on Complex Networks convenes researchers from across disciplines to address structure, dynamics, and applications of complex networks, bringing together scholars from Santa Fe Institute, Princeton University, Massachusetts Institute of Technology, Harvard University, and Stanford University. The conference attracts participants affiliated with institutions such as University of Oxford, University of Cambridge, California Institute of Technology, ETH Zurich, and Technical University of Munich, and draws support from organizations like European Research Council, National Science Foundation, Japan Society for the Promotion of Science, Royal Society, and Max Planck Society.
The conference focuses on mathematical, computational, and empirical aspects of networks studied at places including Los Alamos National Laboratory, CERN, IBM Research, Google DeepMind, and Microsoft Research. Topics span foundational work linked to scholars at Imperial College London, Columbia University, New York University, University of Washington, and Yale University, often intersecting with projects at Brookings Institution, RAND Corporation, World Health Organization, United Nations, and European Commission. Attendees represent labs such as Santa Fe Institute, Sloan School of Management, Weizmann Institute of Science, Peking University, and Tsinghua University.
The conference emerged following seminal developments by authors and groups associated with Albert-László Barabási, Réka Albert, Duncan J. Watts, Steven Strogatz, and institutions like Bell Labs, Los Alamos National Laboratory, University of Notre Dame, Cornell University, and University of Michigan. Early community meetings involved contributors from Institute for Advanced Study, National Institute of Standards and Technology, Lawrence Berkeley National Laboratory, Argonne National Laboratory, and European Organization for Nuclear Research. Funding and endorsement often included Simons Foundation, Gordon and Betty Moore Foundation, Wellcome Trust, Alexander von Humboldt Foundation, and Fulbright Program.
Typical formats mirror models used at NeurIPS, SIGGRAPH, ICML, KDD, and AAAI, including plenary sessions featuring academics from University College London, University of Toronto, McGill University, ETH Zurich, and Ecole Polytechnique Fédérale de Lausanne. Program committees recruit reviewers from Royal Society, Academia Sinica, Chinese Academy of Sciences, Max Planck Institute for Mathematics in the Sciences, and Centre National de la Recherche Scientifique. Workshops and tutorials have been co-organized with entities like IEEE, ACM, SIAM, INFORMS, and Biophysical Society.
Recurring themes include network topology and dynamics as studied by teams at Princeton Plasma Physics Laboratory, Johns Hopkins University, Northwestern University, Duke University, and Brown University; epidemic and contagion models researched at Centers for Disease Control and Prevention, Imperial College London, London School of Hygiene & Tropical Medicine, Karolinska Institutet, and Pasteur Institute; and multilayer and temporal networks explored at University of Amsterdam, Tilburg University, KU Leuven, Ghent University, and Vrije Universiteit Brussel. Other themes intersect with data sources and platforms such as Twitter, Facebook, LinkedIn, GitHub, and Wikipedia as well as methodologies from Stanford Linear Accelerator Center, Lawrence Livermore National Laboratory, Salk Institute, Riken, and Hubble Space Telescope collaborations.
Keynote rosters have included figures associated with Albert-László Barabási, Duncan J. Watts, Mark Newman, Santo Fortunato, and Marta Sales-Pardo, alongside computational leaders from Yoshua Bengio, Geoffrey Hinton, Judea Pearl, Cynthia Rudin, and Leslie Valiant. Notable contributions presented work related to motifs and modularity from Ronald Fisher-inspired statistical traditions at University of Chicago, community detection algorithms developed at Bell Labs, and spectral methods advanced at MIT Lincoln Laboratory and Harvard-Smithsonian Center for Astrophysics.
Proceedings have been published in venues associated with Springer Nature, Elsevier, IEEE Xplore, ACM Digital Library, and PLOS One, with special issues coordinated with journals such as Nature Communications, Physical Review Letters, Science Advances, Proceedings of the National Academy of Sciences, and Journal of Complex Networks. Datasets and code releases often reference repositories like GitHub, Zenodo, Figshare, Dryad, and OpenScience Framework and link to databases curated by Human Connectome Project, Ensembl, GenBank, World Bank, and OECD.
The conference has influenced policy and practice through collaborations with World Health Organization, United Nations Development Programme, European Centre for Disease Prevention and Control, Food and Agriculture Organization, and International Monetary Fund, and has fostered educational outreach with Coursera, edX, Khan Academy, MIT OpenCourseWare, and Codecademy. Community initiatives include mentoring and diversity programs supported by Ada Lovelace Institute, Society for Industrial and Applied Mathematics, Association for Women in Mathematics, National Academy of Sciences, and Royal Academy of Engineering.
Category:Academic conferences