Social Network Analysis and Applications

Introduction to Network Science. Basic definitions of networks, the role of networks and examples of applications, topology control and network creation; elements of graph theory and an overview of basic definitions; structure and characteristics of complex and social networks: random network models, small-world networks, power-law networks, scale-free networks, regular networks, random geometric graphs, etc.; elements of complex and social network analysis: analysis metrics (node degree distribution, clustering coefficient, network centrality, etc.), preferential attachment and network formation/evolution; Evolutionary Computation: Genetic algorithms, cognitive algorithms, parallel computing, and heuristic computing methods. 

Applications: Topology control, routing and resource allocation, the impact of network structure on information dissemination/opinion formation, the impact of social networks on recommendation systems, epidemiological models of information, collaboration and synchronization. 

You can find the course page here. 

Professors: 

S. Papavassiliou, Professor NTUA 

V. Karyotis, Associate Professor Ionian University