By Carlos Andre Reis Pinheiro
A well timed examine potent use of social community research in the telecommunications to spice up consumer relationshipsThe key to any profitable corporation is the connection that it builds with its shoppers. This e-book exhibits how social community research, analytics, and advertising wisdom could be mixed to create a good client event in the telecommunications industry.Reveals how telecommunications businesses can successfully improve their relationships with customersProvides the basis for outlining social community analysisDefines the instruments that may be used to handle social community difficulties A must-read for any pros wanting to distinguish their items available to buy, this booklet indicates you ways to get it performed correct, with social community research.
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Additional resources for Social Network Analysis in Telecommunications (Wiley and SAS Business Series)
Sample text
Nowadays, graph theory is regularly used for finding communities in networks. Algorithms regarding community detection have been increasing every day, making it possible for more real-world and business problems to be addressed by this sort of methodology. By 22 ▸ S O C I A L N E T W O R K A N A LY S I S I N T E L E C O M M U N I C AT I O N S detecting not just the small networks, communities, or subgraphs, but also their structures—hierarchical, circular, and others—it is possible to apply social network analysis to several distinct types of problems, such as cross-selling and up-selling in marketing and fraud and money laundering in revenue assurance.
The case study in this book (see Part II) presents two distinct approaches for the use of social network analysis in telecommunications. The first one is the use of social network analysis for churn, which involves identifying the most influential customers who could possibly lead other customers to leave the company. The second example is the use of social network analysis for purchasing, identifying once again the influential customers who can possibly lead other customers to purchase similar products in the future.
8. ” 9. Albert-László Barabási, Linked: The New Science of Networks (New York: Basic Books, 2002). C H A P T E R 2 Formal Methods for Network Analysis T he main idea behind social network analysis is not so difficult. A social network is a set of nodes. These nodes may have relationships, or links, with one another. Social networks can be comprised of many or few nodes, connected by one or several types of relationships. In order to create useful information about a particular social network, a complete and rigorous description of the measurements assigned to nodes, links, and patterns of behavior should be applied.