This chapter provides an overview of social networks, the basic discipline from which ideas and terminology are drawn when characterizing popular phenomena such as “social networking” Internet sites like Facebook. The authors offer the reader a flavor of the theoretical and empirical research conducted by social network scholars since the 1930s. They explore how researchers have used social networks to generate and test economic, sociological, and organizational theories. They also examine broad insights from this research, as well as management implications in areas such as advertising, brands, loyalty, authenticity, and segmentation. The overriding message is that as power shifts from firms to social networks, companies have less control over their own destinies and need to pay more attention to networks.

What can we learn about networks from ants, honeybees, and other animals with evolved social structures? The impact of information and communications strategies on network dynamics did not arrive with the emergence of computers, cell phones, and the Internet. This chapter describes communication networks selected from among many that have been studied in communities of nonhuman organisms. It explores the extent to which communication linkages have controlled the development of those networks. In some of those networks, developmental histories are manifest as evolved body plans and gender roles not represented in human communities. Many of those networks are founded on efficient exchange of information via pathways of which humans are almost fully oblivious.

New Paperback Edition Networks and the Enterprise: Breakthrough Thinking and Actionable Strategies “This book presents an amazing collection of insights on underlying forces and ways to thrive in our post-Coaseian age—an age in which the centralized firm is changing into an agile and resilient network of participants. A must read for a world where unpredictability reigns supreme.” —John Seely Brown, Independent Co-Chair of the Deloitte Center for Edge Innovation, and Senior Fellow at the Annenberg Center for Communication at the University of Southern California “I couldn’t wait to get my hands on this research...I have already begun to put the ideas into practice in designing next-generation open innovation networks...the diversity of ideas and perspectives is truly amazing and will be a terrific resource to anyone seeking to move to new business models based on the power of networks for innovation, marketing, and creating and leveraging big ideas. Job well done!” —Larry Huston, Creator of the “Connect and Develop” program for Procter & Gamble, and Managing Director of 4iNNO, a major Open Innovation consulting practice “In our borderless world, every manager needs to understand the strategic implications of networks. For the first time, The Network Challenge brings together thought leaders from many fields—a team of experts as broad as the network challenge itself.” —Kenichi Ohmae, author of more than 100 books, including the seminal work, The Mind of the Strategist, advisor on global strategy to foreign governments and scores of multinational corporations, selected by The Economist as one of five management gurus in the world. Networks define modern business. Networks introduce new risks (as seen by the rapid spread of contagion in global financial markets) and opportunities (as seen in the rapid rise of network-based businesses). While managers typically view business through the lens of a single firm, this book challenges readers to take a broader view of their enterprises and opportunities. This book’s 28 original essays include CK Prahalad on networks as the new locus of competitive advantage Russell E. Palmer on leadership in a networked global environment Dawn Iacobucci and James M. Salter II on the business implications of social networking Franklin Allen and Ana Babus on contagion in financial markets Steven O. Kimbrough on artificial intelligence, evolutionary computation, and networks Satish Nambisan and Mohan Sawhney on tapping the “global brain” for innovation Manuel E. Sosa on coordination networks in product development Christophe Van den Bulte and Stefan Wuyts on customer networks Christoph Zott and Raphael Amit on using business models to drive network-based strategies Yoram (Jerry) Wind, Victor Fung, and William Fung on network orchestration Valery Yakubovich and Ryan Burg on network-based HR strategy Howard Kunreuther on risk management strategies for an interdependent world Paul R. Kleindorfer and Ilias D. Visvikis on integrating financial and physical networks in global logistics Witold J. Henisz on network-based political and social risk management Boaz Ganor on terrorism networks And much more...

Fundamentals of Brain Network Analysis is a comprehensive and accessible introduction to methods for unraveling the extraordinary complexity of neuronal connectivity. From the perspective of graph theory and network science, this book introduces, motivates and explains techniques for modeling brain networks as graphs of nodes connected by edges, and covers a diverse array of measures for quantifying their topological and spatial organization. It builds intuition for key concepts and methods by illustrating how they can be practically applied in diverse areas of neuroscience, ranging from the analysis of synaptic networks in the nematode worm to the characterization of large-scale human brain networks constructed with magnetic resonance imaging. This text is ideally suited to neuroscientists wanting to develop expertise in the rapidly developing field of neural connectomics, and to physical and computational scientists wanting to understand how these quantitative methods can be used to understand brain organization. - Winner of the 2017 PROSE Award in Biomedicine & Neuroscience and the 2017 British Medical Association (BMA) Award in Neurology - Extensively illustrated throughout by graphical representations of key mathematical concepts and their practical applications to analyses of nervous systems - Comprehensively covers graph theoretical analyses of structural and functional brain networks, from microscopic to macroscopic scales, using examples based on a wide variety of experimental methods in neuroscience - Designed to inform and empower scientists at all levels of experience, and from any specialist background, wanting to use modern methods of network science to understand the organization of the brain

Complex products, such as airplanes and automobiles, are designed by networks of design teams working on different components, often across organizations. The challenge in managing these networks is to decompose the project into manageable pieces but then coordinate the entire network to produce the best overall design. In this chapter, Manuel Sosa offers insights on this challenge. He examines the design structure matrix (DSM) as a project management tool for planning complex development efforts and discusses the engineering and managerial implications of considering complex products as networks of interconnected subsystems and components. In particular, he considers the impact of modularity on interactions among subcomponents. Finally, he examines organizational communications, overlaying product interfaces with communications interfaces of development teams to understand where communication links may be missing or unnecessary. The discussion offers insights on any complex design and coordination challenge, where networks of individuals or teams work together to contribute to a larger whole.

Although any manager would recognize the importance of “networking” in finding, developing, and retaining employees, human resource management traditionally has focused on individuals. In this chapter, the authors point out that core HR processes such as recruitment and hiring, training and development, performance management, and retention all depend on networks. They consider the importance of weak ties in matching employees with jobs and “structural holes” in promoting creativity. They urge managers to make the shift from an atomized view to a network view of human resources--from focusing on the “trees” to understanding the “forest.” They show that networks can boost efficiency and productivity by facilitating information sharing, attracting talent, and strengthening employees’ commitment to the firm. But networks may also pose risks such as “lift-outs,” in which a departing employee takes other workers in his or her network. The authors explore how managers need to understand the impact of networks and how to “manage” them.

As manufacturing supply chains have moved from vertically integrated factories to diffused networks, manufacturers need to manage complex, global webs of suppliers. In this chapter, Netessine examines supply networks in two industries in particular: automobiles, and aerospace and defense. He explores how different strategies and technologies have helped companies manage, organize, and capitalize on their networks of suppliers. He discusses how Japanese automakers have used partnerships to outperform their U.S. rivals, who have taken a more adversarial approach to their suppliers. He also considers how companies such as Airbus and Boeing have used technology to coordinate and integrate far-flung networks. While Netessine notes that the formal study of network-based supply chains is just emerging, he offers insights from research and practice on the growing importance of supply networks and strategies for managing them successfully.

Although networks in key business areas such as communications, supply chains, R&D, and sales are designed to improve the flow of information, people, or goods, they can also be used to improve the “peripheral vision” of the organization. In this chapter, the authors examine how networks can be used by organizations to scan, sense, and adapt to new and important signals from the organization’s strategic environment beyond its core focus. The first part of the chapter emphasizes the importance of peripheral vision in helping organizations not being blindsided by threats while seeing new opportunities sooner. The authors examine some key obstacles to using networks to better mine the periphery for early insight. They then explore how extended networks can help the organization be a responsive open system adapting faster to changes in the environment. They examine to what extent network constructs such as centrality, hierarchy, self-healing, distributed intelligence, multihoming, and latency can be used to improve organizational networks for scanning the periphery. The last section explores some of the leadership challenges associated with using networks to detect weak signals sooner.

Most companies realize the need to “look outside” for innovation. However, few have a clear understanding about how they can make such a shift toward network-centric innovation--an innovation strategy that is centered on external networks and communities. Managers need more than anecdotal success stories about externally focused innovation, and they need more specific guidance than the “one size fits all” prescriptions of open innovation. The authors argue that every firm needs to find its own roadmap for tapping the “Global Brain”--the creative potential of the world outside its four walls. There are many different approaches and opportunities for network-centric innovation, based on the nature of the innovation space and the nature of network governance. In this chapter, the authors present a framework for structuring the landscape of network-centric innovation. They describe four models of network-centric innovation--Orchestra, Creative Bazaar, Jam Central, and MOD Station--and outline how companies can select, prepare for, and pursue the approach that best fits their particular business and innovation context.

From oil companies seeking rights to drill to consumer products firms attempting to forestall a consumer boycott, organizations often seek to influence political or social policy to achieve their own objectives. But to exert this influence, they need to understand the structure of political and social networks. In this chapter, Witold Henisz examines how information about the structure of political and social networks can be integrated into data acquisition and analysis, as well as strategy implementation. Although sophisticated companies have long relied on an informal understanding of networks of informants to gather information about social and political actors at home and abroad, the analysis of the information and design of an influence strategy has too often occurred without reference to that structure. As Henisz points out, a more rigorous approach to analysis is transforming political and social risk management from art to quasi-formal science. This chapter outlines the past, present, and future frontiers of political and social risk management with particular attention to using an understanding of the network structure of diverse actors in perceiving, analyzing, and influencing the political and social environment.