network flow model social network analysis definition

Methods such as minimum-cost network flow, shortest path, linear assignment, minimum spanning tree, eigenvector, and transitive closure are presented in a business perspective for problem solving. In addition to the network analysis approach to linking distinct entities, playing different roles on particular connections, this course also shows you a set of network optimization algorithms that you can use to solve a variety of complex business problems. This course shows you how to build networks from raw data and presents different approaches for analyzing your customers, focusing on their relationships and connections within the network.īased on the recognition of customers', or organizations', roles within communities or special groups, you can improve business performance and better understand how your customers are using products and services. For business purposes, social network analysis can be employed to avoid churn, diffuse products and services, and detect fraud and abuse, among many other applications.

In practical terms this approach highlights connections between individuals and organizations and how important they might be in viral effect throughout communities and particular groups. Rather than basing models on static individual profiles, social network analysis depicts behavior in terms of how individuals relate to each other. Social network analysis describes customers' behavior, but not in terms of their individual attributes. Go beyond the traditional clustering and predictive models to identify patterns in your business data. Presented by Carlos Andre Reis Pinheiro, D.Sc., Principal Data Scientist, SAS

Network flow model social network analysis definition