I am an assistant professor at Université catholique de Louvain (Belgium) since 2010. I am part of ICTEAM (Institute of Information and Communication Technologies, Electronics and Applied Mathematics), CORE (Center for Operations Research and Econometrics) and naXys (Namur Center for Complex Read more
Network Science is one of the most important fields of research in Complex Systems. Several variables play relevant roles in the emergent dynamics, some of them related to the nodes, such as degrees, centralities, etc., and some others related to the links or connections, like weight, assortativity, temporal evolution, etc. Moreover, spatial networks are graphical representations where the complexity involved for the creation and permanence of links also depend on the costs associated to geographical constraints. Strengthening links with friends and relatives, power grids and transportation networks are some example where physical distances matter. The brain functionality and the spread of contagious diseases are some other examples with spatial constraints.
The goal of this workshop is to bring an academic environment for discussions, between computer scientists, geographers, sociologists, physicists, data scientists and any researchers working in the phenomena intersecting Big Data, Spatial Systems and Quantitative Geography.
Big Data analysis has given rise a big expansion of new knowledge in the last decade, and geo- localized data is one of its newest born lines of research. We are interested in speaking about the new and not so new developments in the interdisciplinary merging of lines intersecting Space and Big Data. We are also interested in the latest developments that network science can bring to spatial networks.
We can mention as a scope (but not constrained to) for the workshop:
- Mobility patterns
- Spatial networks
- Networks, Smart Cities and Smart Grids Traces and human motifs
- Scaling Behaviors
- Aggregation of data