Sociometrics and Human Relationships: Analyzing Social Networks to Manage Brands, Predict Trends, and Improve Organizational Performance

by Peter A. Gloor

Overview

Sociometrics and Human Relationships translates the latest academic research into practical business strategies and techniques as well as actionable insights, providing a wealth of examples for social network analysis and predicting trends. Gloor illustrates how to improve organizational performance by optimizing communication and collaboration through email. Based on Collaborative Innovation Networks courses which have been taught for over a decade to students forming virtual teams across a number of universities, Gloor shows readers how to leverage virtual collaborative creativity in the Internet age, and helps them understand and apply the dynamics of online communication via a variety of tools. Gloor has also created a tool that analyses all types of social media such as: Twitter, Wikipedia, online blogs and Facebook as well as email or Skype logs to predict election outcomes, perception and strength of brands, customer and employment satisfaction, or fraudulent behavior. Gloor explains how to use his tool, Condor, to visualize, monitor and manage brands, products and topics online, as well as analyzing organizations through their email networks.

Product Details

ISBN-13:	9781787141131
Publisher:	Emerald Publishing Limited
Publication date:	05/04/2017
Pages:	512
Product dimensions:	5.43(w) x 8.50(h) x (d)

About the Author

Peter A. Gloor, MIT Management Sloan School, Massachusetts Institute of Technology, Cambridge, MA, USA

Table of Contents

1. Introduction I. TREND PREDICTION BY MEASURING SOCIAL NETWORKS 2. Coolfarming Organizations 3. Coolhunting and Trend Forecasting on the Web 4. The 6 Honest Signals of Collaboration 5. Essentials of Social Network Analysis and Statistics 6. How Ideas Spread in Online Social Networks – Readings II. ANALYZING STRUCTURE, DYNAMICS, AND CONTENT OF NETWORKS WITH CONDOR 7. The Four Step Analysis Process 8. Getting Started with Condor 9. Analyzing E-Mail with Condor 10. Calculating Personality Characteristics from E-Mail 11. Predicting Criminal Intent from E-Mail – Analyzing the Enron E-Mail Archive 12. Coolhunting on the Internet with Condor 13. Coolhunting – Francogeddon 14. Coolhunting the US Presidential Elections III. AMICA (AUTOMATIC MEDIA INSIGHTS COIN ASSESSMENT) 15. IMIC (Inside Media Individual Collaboration) 16. OMIC (Outside Media Individual Collaboration) 17. IMOC (Inside Media Organizational Collaboration) 18. OMOC (Outside Media Organizational Collaboration) 19. SIC & SOC (Survey of Individual and Organizational Collaboration) IV. Appendix – Useful Machine Learning and Graph Analysis Tools 1. Identifying Anti-Vaxxers through Machine Learning using KNIME 2. Generating Nice Graph Pictures with Gephi 3. Sample Mid Term Exam 4. References

Editorial Reviews

This book is a remarkable and practical roadmap that organizations can use to drive innovation and resilience from the inside-out and from the outside-in. Never before have organizations been so challenged with the imperative to constantly adapt, reinvent themselves, and grow. Peter Gloor has succeeded in providing a timeless approach where deeply understanding how people work together and learn is the only long-term competitive advantage.” –NABIL RAAD, Director, Enterprise Risk, Ford Motor Company “I used this book to teach network science in a master’s degree course for working engineers. All the students were able to grasp network principles and to quickly apply what they learned to examine their own organizational networks. The book is groundbreaking in it’s breadth and practicality, especially where managing organizational change is critical.” –JULIA GLUESING, Ph.D., Professor, Engineering Management Master’s Program (EMMP), Wayne State University, Detroit “Despite the new wealth of data social sciences are still working with stone age tools in a high tech world – and are not yet further than medicine was before computer tomography. “Sociometrics” is an essential manual for future research of social innovation and trends. It offers new ways to view and understand collective action in a highly connected world and provides innovative tools to explore the flow of information in social networks, identify trendsetters, analyze the collective mind and map conversations.” - –KARIN FRICK, head of research, GDI Gottlieb Duttweiler Institute, Switzerland “This book is an essential guide for anyone who wants to make sense of social networks inside and outside the organization by applying big data analysis techniques pioneered by the author in his research at MIT over the last fifteen years.” –ROB CROSS, Edward A. Madden Professor of Global Business at Babson College, and author “Driving Results through Social Networks

From the Publisher

Exploring how humans communicate and collaborate inside organizations through email, chat, videoconferencing, and face-to-face communication and outside organizations on online social media, Gloor describes algorithms and tools to find and support collaboration within and between organizations. In particular, he shows how the Condor software tool can mine electronic communications such as email, sociometric badges, telephone, chat, online meeting, Web/videoconferencing, and calendars, he says, then generate a broad range of structural, temporal, and content-based social network metrics that can be used to calculate and forecast real-world insights.

Annotation ©2017 Ringgold Inc.

Exploring how humans communicate and collaborate inside organizations through email, chat, videoconferencing, and face-to-face communication and outside organizations on online social media, Gloor describes algorithms and tools to find and support collaboration within and between organizations. In particular, he shows how the Condor software tool can mine electronic communications such as email, sociometric badges, telephone, chat, online meeting, Web/videoconferencing, and calendars, he says, then generate a broad range of structural, temporal, and content-based social network metrics that can be used to calculate and forecast real-world insights.

Annotation ©2017 Ringgold Inc.