Measuring the Dynamics of Social Networks
Kogan Page Ltd (Verlag)
978-0-7494-7957-2 (ISBN)
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Measuring the Dynamics of Social Networks provides an in-depth tutorial to analyzing online social networks for students and practitioners. It acts as a targeted guide, with step-by-step instructions, with the objective to deliver immediate actionable insights for anybody who wants to analyze online social networks to gain consumer insights.
Written in everyday language translating the latest academic research into practical business strategies and techniques, it provides a wealth of examples of how to apply social network analysis. Whether it is predicting trends, improving organizational performance, or optimizing communication and collaboration using email, Measuring the Dynamics of Social Networks is sure to be come a go-to guide. Written by a research scientist at the Center for Collective Intelligence at MIT's Sloan School of Management, the text also includes a free license of the dedicated Condor software to enable readers to analyze the dynamics of semantic social networks.
Peter Gloor is a research scientist at the Center for Collective Intelligence at MIT's Sloan School of Management where he leads a project exploring Collaborative Innovation Networks (COIN). He is also founder and chief creative officer of software company Galaxyadvisors, where he puts his academic insights to practical use, helping clients to coolhunt by analyzing social networking patters on the Internet and spotting the next big thing by finding the trendsetters. In addition Peter is Honorary Professor at University of Cologne, a lecturer at Aalto University in Helsinki, and Distinguished Visiting Professor at P. Universidad Catolica de Chile. Previously, Peter was a Partner with Deloitte Consulting, leading its e-Business practice for Europe, a Partner with PricewaterhouseCoopers and the section leader for software engineering at UBS.
| Verlagsort | London |
|---|---|
| Sprache | englisch |
| Maße | 162 x 240 mm |
| Gewicht | 785 g |
| Themenwelt | Informatik ► Datenbanken ► Data Warehouse / Data Mining |
| Wirtschaft ► Betriebswirtschaft / Management ► Marketing / Vertrieb | |
| ISBN-10 | 0-7494-7957-4 / 0749479574 |
| ISBN-13 | 978-0-7494-7957-2 / 9780749479572 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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