Peter Sloot, born in Haarlem, the Netherlands, in 1956. Ph.D. from the University of Amsterdam. Distinguished Research Professor at the University of Amsterdam, Professor of Advanced Computing at ITMO research institute in St. Petersburg and Professor of Complex Systems at NTU, Singapore.
Fellow / Guest of the Rector (1 February 2014 – 30 June 2014)
UNDERSTANDING INFORMATION SPREADING IN SOCIAL NETWORKS
Can we detect, describe and simulate the computational structure of Natural and Social Processes in terms of information processing in discretized state, space and time?
What I propose to study is ways to model social networks using novel information theoretic principles. I propose to apply this –for instance- to the study of how information in criminal networks, specifically ‘cannabis networks’, percolates through the ‘value chain’ of softdrugs production and the associated subnetworks. For this I have access to unique data from the Dutch Intelligence where criminal relations are recorded from interviews (so called ‘soft information’), in addition to criminal conviction records (so called ‘hard information’).
1) A. Czaplicka.; J.A. Holyst and P.M.A. Sloot: Noise enhances information transfer in hierarchical networks, Nature Scientific Reports, vol. 3, 2013. (DOI: 10.1038/srep01223)
2) R. Quax, A. Apolloni and P.M.A. Sloot: The diminishing role of hubs in dynamical processes on complex networks, J. Roy. Society Interface, 2013, in press.
3) P. Duijn, V. Kashirin and P.M.A. Sloot: The Relative Ineffectiveness of Criminal Network Disruption, under review.