ITM 760 Lecture Notes - Lecture 10: Centrality, Nodeb

• School: Ryerson University
• Department: Information Technology Management
• Course: ITM 760
• Professor: Morteza Zihayat

Document Summary

Social network analysis (sna) is the process of investigating social structures using graph theory. Social network analysis embodies a range of theories relating types of observable social spaces and their relation to individual and group behavior. We often think of networks being organized into modules, cluster, communities. Discovering social circles, circles of trust. (communities) community (clusters within clusters) in blue. The unit of interest in a network are the combined sets of actors (users) and their relations. We represent actors with points and relations with lines: actors are referred to as: nodes, vertices, or points, relations are referred to as: edges, arcs, lines, ties. In general, a relation (edge) can be: binary or values, directed or undirected. Binary relation exists or does not exist ; valued - relation might exist but has diff. weights /values . From one node to another node there could be a directed arrow , or could be undirected .