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CompleNet 2017

8th Conference on Complex Networks
Dubrovnik, Croatia, 21/03/2017 – 24/03/2017.
This International Conference on Complex Networks (CompleNet) aims at bringing together researchers and practitioners working on areas related to complex networks. In the past two decades we have been witnessing an exponential increase on the number of publications in this field. From biological systems to computer science, from economic to social systems, complex networks are becoming pervasive in many fields of science. It is this interdisciplinary nature of complex networks that CompleNet aims at addressing.

This is the first time the event becomes a conference (moving from an workshop). Previous editions have taken place around the world on an yearly basis. The first edition of the workshop took place in May 2009 in Catania, Italy; the 2nd took place in Rio de Janeiro, Brazil; the 3rd in Melbourne, Florida, USA; 4th in Berlin, Germany; the 5th in Bologna, Italy; the 6th in New York City, USA; the 7th in Dijon, France. This time we are delighted to have the event be held in Dubrovnik, Croatia.

Topics of Interest
  • Applications of Network Science
  • Behavioral & Social Influence
  • Community Structure in Networks
  • Complex Networks and Epidemics
  • Complex Networks and Mobility
  • Complex Networks in Biological Systems
  • Complex Networks in Technology
  • Complex networks in Statistical Mechanics
  • Dynamics on Networks
  • Ecological Networks and Food Webs
  • Emergence in Complex Networks
  • Geometry in Complex Networks
  • Impact and Success Prediction
  • Information Spreading in Social Media
  • Interacting Social Networks
  • Link Analysis and Ranking
  • Modeling Human Behavior in Complex Networks
  • Models of Complex Networks
  • Network Controllability and Observability
  • Network Evolution
  • Networks as Frameworks
  • Rumor Spreading
  • Science of science
  • Search in Complex Networks
  • Shocks and Bursts
  • Social Networks
  • Structural Network Properties and Analysis
  • Synchronization in Networks