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CompleNet 2018 - 9th Conference on Complex Networks
Boston (MA, US)
March 5-8, 2018
CompleNet is an international conference that brings together researchers and practitioners from diverse disciplines—from sociology, biology, physics, and computer science—who share a passion to better understand the interdependencies within and across systems. CompleNet is a venue to discuss ideas and findings about all types networks, from biological, to technological, to informational and social. It is this interdisciplinary nature of complex networks that CompleNet aims to explore and celebrate.
* Abstract/Paper submission deadline: October 6
* Notification of acceptance: November 13
* Submission of Camera-Ready (full length) papers due: November 22
* Early registration ends: December 1
Submit your contribution, paper or abstract, through EasyChair.
(more speakers to be announced)
Special feature: The Art of Networks will be a curated installation of network visualizations co-located with CompleNet. Now in its third edition, the exhibition explores the role of aesthetics and design in data representation and scientific communication.
Call for Contributions:
You are cordially invited to submit an abstract to CompleNet 2018, the 9th Conference on Complex Networks, to take place in Boston, Massachusetts on March 5-8, 2018.
CompleNet accepts contributions in the form of full-length papers (not previously published) and abstracts (about published or unpublished research), either of which can be accepted either as an oral or a poster presentation (after blind review). Papers will be published in a proceedings volume edited by Springer. All presentations will take place in a single plenary session, offering heightened exposure and integration across topics and expertise. Further details about submissions may be found at http://complenet.weebly.com/submissions.html.
Kate Coronges, Northeastern University, USA
Alessandro Vespignani, Northeastern University, USA
Roberta Sinatra, Central European University, Hungary
Bruno Gonçalves, NYU Center for Data Science, USA
Sean P. Cornelius, Northeastern University, USA