| KEYWORD |
Area Engineering
Identification/Influence Estimation in Social Networks
Thesis in external company
Reference persons FABRIZIO DABBENE
Description Goal of the thesis is to estimate the network structure and the strength of the relations and trust among agents sampling the opinions dynamics over time or by observing the final opinion profile under one of the following assumptions: (a) the network is sparse (i.e. people are influenced by few friends) (b) the adjacency matrix (that indicates whether pairs of vertices are connected or not in the graph) is low-rank (i.e. there are few communities in the network).
[C. Ravazzi, R. Tempo, F. Dabbene, Learning influence structure in sparse social networks]
[H.-T. Wai, A. Scaglione, and A. Leshem, “Active sensing of social networks.” IEEE Trans. Signal and Information Processing over Networks, vol. 2, no. 3, pp. 406–419, 2016]
See also thesis proposals social networks.pdf
Required skills Convex optimization, probability
Deadline 06/10/2018
PROPONI LA TUA CANDIDATURA