Social Network Analysis in Telecommunications

by Reis Pinheiro, Carlos Andre

• ISBN13: 9780470647547
• ISBN10: 047064754X
• Edition: 1st
• Format: Hardcover
• Copyright: 2011-05-03
• Publisher: Wiley

Summary

The highly competitive telecommunications' market demands companies establish a good customer relation process. There are several traditional approaches to address business' issues according to behavioral segmentation and predictive models. All these traditional approaches such as clustering and predictive models are well founded unsupervised and supervised learning approaches, respectively. Although these models can be quite effective in terms of predictions, or even in terms of customer understanding, they just present an isolated knowledge about the customers. They do not consider relationships or the influence among customers, especially over the time, in an evolution perspective.Social network analysis can be used to enhance the knowledge related to the customers' influence in an internal community. This new proposition in order to evaluate the customers can clarify aspects about the virtual communities inside the telecommunications networks, allowing companies to deploy a more effective action plan to better diffuse their products and services. Evolution's perspective should consider the network behavior in distinct timeframes, allowing a more complex cross analysis and also the opportunity to establish a correlation between the strength of the relationship and the influence over time for some particular business events such as bundle diffusion. Bearing in mind that the influence happens first when the relationship is stronger can allow companies to prepare a marketing campaign to optimize the bundle diffusion targeting the right subset of customers.The focus of this book is on the telecommunications industry and how it can use social network analysis. The book will focus on three primary areas: (1) overview of social networks, (2) shows the tools that can be used to address social network problems, and (3) a case study to show how to effectively use tools (i.e., software) to solve social network business issues.

Author Biography

CARLOS ANDRE REIS PINHEIRO has conducted over the last two years postdoctoral research in social network analysis at the School of Computing, Dublin City University (DCU), Ireland. He holds a doctoral degree in computer science from Federal University of Rio de Janeiro, Brazil. Before joining DCU, he did postdoctoral research in optimization at Instituto Nacional de Matemática Pura e Aplicada (IMPA) in Brazil, one of the most prestigious mathematical institutes in the world. He has been with Oi, the largest telecommunications company in Brazil, since 2000. He has published several papers in international journals and has also written four books that focus on the Internet, database, Web warehousing, and analytical intelligence.

Table of Contents

Foreword	p. ix
Preface	p. xv
Acknowledgments	p. xix
Foundation of Social Network Analysis	p. 1
An Introduction to Social Network Analysis	p. 3
Formal Methods for Network Analysis	p. 27
Theoretical Foundation	p. 41
Measures of Power and influence	p. 65
Social Network Analysis Case Study	p. 83
Telecommunications Environment	p. 85
Social Network Modeling	p. 107
Assessing the Social Network Model	p. 139
Evaluating the Business Results	p. 165
Final Remarks for the Case Study	p. 205
SAS Capabilities for Social Network Analysis	p. 219
Basic Statistics	p. 221
Overview of the Link Analysis Node	p. 241
Visualization capabilities for Social Network Analysis	p. 255
A Note about Optgraph	p. 263
Bibliography	p. 273
About the Author	p. 277
Index	p. 279
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