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  CSE6413:


Network Science

3 Credit Hour Course

Prerequisite:   None

Introduction to Network Science: networks behind complex systems, characteristics of network science, societal and scientific impact of network science; Graph theoretic fundamentals: adjacency and adjacency representations, degree and degree sequence, paths and distance on a graph, center and diameter of a graph, Euler tours and Hamiltonian cycles, connectivity, graph drawing;Network properties: degree distribution, degree correlations, distance statistics, centrality, clustering coefficient, small-world effect, robustness; Network models and evolving networks: random networks, scale-free networks, Barabási–Albert (BA) model, Bose-Einstein condensation; Communities: clustering, modularity, overlapping communities, testing and characterizing communities; Network robustness: percolation theory, robustness of scale-free networks, attack tolerance, cascading failures, designing robust networks; Spreading phenomena: network epidemics, contact networks, immunization, epidemic prediction.




Department of Computer Science and Engineering, ECE building, Palashi, Dhaka, Bangladesh. The Department is part of the Faculty of Electrical and Electronic Engineering at the Bangladesh University of Engineering & Technology. No part or content of this website may be copied or reproduced without permission of the department authority. Contact info@grad.cse.buet.ac.bd with questions or comments on this page.  [Development Credits]