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CNN is a new forum for academics across different departments in Cambridge who share an interest in Complex Networks.
Complex Networks have attracted much attention since the seminal papers ofWatts & Strogatz (Nature, 1998) and Albert & Barabasi (Science, 1999), which laid the foundation for a rapidly expanding and remarkably interdisciplinary field of study.
While social scientists have studied networks for more than half a century, it is only in the last decade that network data has become ubiquitous in many different fields. International conferences on Complex Networks now bring together researchers from physics, biology, economics, computer science, social sciences and engineering, as well as the arts and humanities.
We hope to establish a community of Cambridge-based scientists interested in networks, with the organization of a regular interdisciplinary seminar series. These seminars are held in Kings College and are followed by informal drinks.
If you are interested in attending these seminars, and in occasional news about relevant international conferences or job offers in the field of Complex Networks, you can join our mailing list via the following website: https://lists.cam.ac.uk/mailman/listinfo/ucam-cnn
For more information please visit our webpage: http://www.cnn.group.cam.ac.uk/
Or contact us at firstname.lastname@example.org
The organizers of CNN Sebastian Ahnert, Vera Pancaldi, Petra Vertes
If you have a question about this list, please contact: Petra Vertes. If you have a question about a specific talk, click on that talk to find its organiser.
0 upcoming talks and 28 talks in the archive.
Please see above for contact details for this list.
Other listsSpecial panel discussion Skewness, Heavy Tails, Market Crashes, and Dynamics Research Seminars - Department of Biochemistry 2008/09
Other talksAnnual Conversazione: Cambridge’s oldest celebration of citizen science! Is depression caused by a hyperactive habenula? Unveiling the world? Aerial photographs and the social sciences in interwar France Why Mathematical Proof? Silicate and Carbonatite Melts in the Mantle: Adding CO2 to the pMELTS Thermodynamic Model of Silicate Phase Equilibria "Exploring dependence between categorical variables: Benefits and limitations of using variable selection within Bayesian clustering in relation to searching for interactions"