- Paperback: 172 pages
- Publisher: SAGE Publications Ltd; 1 edition (September 8, 2003)
- Language: English
- ISBN-10: 0761969578
- ISBN-13: 978-0761969570
- Product Dimensions: 6.7 x 0.4 x 9.5 inches
- Shipping Weight: 11.2 ounces (View shipping rates and policies)
- Average Customer Review: 4 customer reviews
- Amazon Best Sellers Rank: #718,974 in Books (See Top 100 in Books)
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Social Networks and Organizations 1st Edition
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About the Author
Martin Kilduff (PhD Cornell, 1988) is Professor of Organizational Behavior at University College London, former editor of Academy of Management Review (2006-08), and currently associate editor of Administrative Science Quarterly. Prior to joining UCL he served as Diageo Professor of Management Studies at Cambridge University, and prior to that served on the faculties of University of Texas at Austin, Penn State, and Insead. His work focuses on social networks and includes the co-authored books Social Networks and Organizations (Sage: 2003); and Interpersonal networks in organizations: Cognition, personality, dynamics and culture (Cambridge University Press: 2008). His research relates personality to network structure (e.g., Journal of Applied Psychology, 2008; Administrative Science Quarterly, 2001), perceived networks to actual networks (e.g., Organizational Behavior and Human Decision Processes, 2008; Academy of Management Journal, 1994), and proposes new theory concerning scientific innovation (e.g., Academy of Management Review, 2011). Current research continues many of these emphases including research on how bias affects perceptions of women′s networks, how emotion distorts network perceptions, and how people′s careers are boosted by ties from the past.
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Top customer reviews
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As a doctoral candidate I appreciated the opening chapters which position network analysis in the research traditions, and provide some discussion on the underlying theories. Some readers might find these chapters boring, but I think there is something there for everyone. Take for example the discussion on theoretical foundations. The authors discuss graph theory without blinding the lay-person with incomprehensible mathematical formulas. They also talk about balance theory and other borrowings from psychology in simple terms. This is a constant throughout the book - the reader is gently exposed to key network concepts, debates in the literature, and possible new research directions.
The authors guide the reader through various units of analysis, ranging from the individual, to the team, and finally the organisation. Their interest in interpersonal networks within organisations is obvious. There is ample discussion on cognitive networks, knowledge transfer, and business unit networks. In each of these discussions key concepts such as dyads, triads and cliques are presented in layman's terms. All this serves to highlight the importance and centrality of networks in our daily life.
So all in all I think this book deserves a five-star rating, and should be on the shelf of any serious network analysis practitioner.