COMPLEX NETWORKS 2024 Istanbul Turkey December 10 - 12, 2024
KEYNOTE SPEAKERS (TBC)
· Federico Battiston Central European University, Austria
· Tina Eliassi-Rad Northeastern University, USA
· Frank Emmert-Streib Tampere University, Finland
· Filippo Menczer Indiana University, USA
· Luciano Pietronero University of Rome, Italy
TUTORIALS (December 09, 2024)
· Alessandro Galeazzi University of Padova, Italy
· Clara Stegehuis Twente University, The Netherlands
PUBLICATION
Full papers (not previously published up to 12 pages) and Extended Abstracts (about published or unpublished research up to 4 pages) are welcome.
· Papers will be included in the conference proceedings edited by Springer
· Extended abstracts will be published in the Book of Abstracts (with ISBN)
Extended versions will be invited for publication in special issues of international journals:
o PLOS Complex Systems edited by PLOS.
o Applied Network Science edited by Springer Nature
o Social Network Analysis and Mining edited by Springer Nature
o Advances in Complex Systems edited by World Scientific
SUBMISSION:
https://cmt3.research.microsoft.com/COMPLEXNETWORKS2024/
TOPICS
Topics include, but are not limited to:
o Models of Complex Networks
o Structural Network Properties and Analysis
o Complex Networks and Epidemics
o Community Structure in Networks
o Community Discovery in Complex Networks
o Motif Discovery in Complex Networks
o Network Mining
o Network embedding methods
o Machine learning with graphs
o Dynamics and Evolution Patterns of Complex Networks
o Link Prediction
o Multilayer Networks
o Network Controllability
o Synchronization in Networks
o Visual Representation of Complex Networks
o Large-scale Graph Analytics
o Social Reputation, Influence, and Trust
o Information Spreading in Social Media
o Rumour and Viral Marketing in Social Networks
o Recommendation Systems and Complex Networks
o Financial and Economic Networks
o Complex Networks and Mobility
o Biological and Technological Networks
o Mobile call Networks
o Bioinformatics and Earth Sciences Applications
o Resilience and Robustness of Complex Networks
o Complex Networks for Physical Infrastructures
o Complex Networks, Smart Cities and Smart Grids
o Political networks
o Supply chain networks
o Complex networks and information systems
o Complex networks and CPS/IoT
o Graph signal processing
o Cognitive Network Science
o Network Medicine
o Network Neuroscience
o Quantifying success through network analysis
o Temporal and spatial networks
o Historical Networks