AEN 2016 - 1st International Workshop on Analytics on Evolving Networks

The 1st International Workshop on Analytics on Evolving Networks will take place in Den Hague, the Netherlands on August 29th, 2016. It is organized in conjunction with the 22nd European Conference on Artificial Intelligence (ECAI 2016).
Analytics over massive networks is pervasive across science and engineering, e.g., social networks, communication networks, biological networks, knowledge graphs, and so forth. Very often these networks are dynamic, evolving over time as connections are made and broken and as nodes appear and disappear. While a deep foundation has been developed in the past two decades on analytics on real-world complex networks, relatively little progress has been made on scalable analytics as these networks evolve. There is a growing community of researchers, dispersed across Artificial Intelligence, Data Mining, Data Management, Complex Systems, and other research disciplines which are turning their attention to the many open challenges in the context of evolving networks.
The objective of the workshop is to bring together researchers from different disciplines in this emerging area, providing a forum for discussion of recent advances in analytics on evolving networks, and to offer an opportunity for researchers and practitioners to identify and discuss recent advances and new promising research directions.
TOPICS OF INTEREST
In this workshop, we aim to attract researchers with an interest in temporal dynamics in complex networks, diffusion processes like epidemics and evolving structural properties.
A non-exhaustive list of topics includes:
Temporal and streaming networks
Statistical and structural properties and models of evolving networks
Sampling from evolving networks
Predictive modeling on evolving networks
Pattern mining, e.g., graph partitioning, community mining, and motif discovery
Maintaining time-evolving models
Anomaly detection, change detection
Visual analytics
Evaluation frameworks
Incorporating content and context in evolution analysis
(Re-)Construction of heterogeneous evolving networks
Applications, e.g., in social networks, Web, metabolic networks, biological networks, road networks, communication networks, co-authorship and collaboration networks, chemistry, brain networks, sensor networks