Abbrevation
MARAMI
City
Dijon
Country
France
Deadline Paper
Start Date
End Date
Abstract

Networks are ubiquitous for modeling and simulating various natural and man&#8211;made systems (social, biological, technological, economic, ecological, historical and others)&#046; MARAMI is an annual forum for the exchange and dissemination of studies on networks originating from various communities (computer science, mathematics, sociology, biology, etc&#046;)&#046; Studies with a strong methodological or quantitative influence, or combining several disciplinary fields, are particularly welcome&#046; MARAMI is a forum where synergies are developed and where expertise and experiences of various communities are shared&#046;<br>Speakers<br>• Jean&#8211;Daniel FEKETE INRIA, France<br>• Ronaldo MENEZES University of Exeter, UK<br>• Tsuyoshi MURATA Tokyo Institute of Technology, Japan<br>Submission Guidelines<br>Finalized work (published or unpublished) and work in progress are welcome&#046; Two types of contributions are accepted:<br>• Full papers about original research not simultaneously submitted to another journal or conference&#046;<br>• Extended Abstract about published or unpublished research&#046; Recommended to be between 2&#8211;3 pages&#046; They should not exceed 4 pages&#046;<br>Each submission must follow the Springer publication format available on the website of the journals Computational Social Networks Applied Network Science in the Instructions for Authors instructions entry&#046;<br>All contributions should be submitted in pdf format via EasyChair&#046;<br>Publication<br>All Accepted submissions of unpublished work will be invited for publication in a special issue (fast rack procedure) in one of the journals:<br>o Computational Social Networks edited by Springer<br>o Applied Network Science edited by Springer<br>List of Topics<br>Topics include, but are not limited to:<br>o Community detection, graph partitioning, overlapping communities, local communities<br>o Community assessment and benchmarking<br>o Effective algorithms for sorting nodes in large graphs, finding patterns in graphs<br>o Visualization and exploration of large graphs<br>o Study and simulation of phenomena occurring on networks<br>o Network evolution, link prediction, diffusion models<br>o Social networks, affiliate networks, social web, folksonomies,<br>o biological networks, peer&#8211;to&#8211;peer networks, space networks<br>o Recommendation systems, collaborative filtering<br>o Decision support systems (viral marketing, epidemics)<br>o Multi&#8211;agent systems and networks<br>o Network Analysis &amp; Mining<br>o Machine learning with graphs<br>