As terrorist organizations such as Al-Qaeda have been transformed from hierarchical organizations to more fluid networks, countering terrorism requires an understanding of networks. These networks evolve rapidly in response to actions to thwart them, leading to an ongoing struggle of terrorist and antiterrorist networks. In this chapter, Boaz Ganor examines the evolving threat of terrorist networks and network-based responses. As he notes, “it takes a network to beat a network.” He also examines direct and indirect implications for business organizations.

Telecommunications is a networked business, yet it traditionally has resisted a network-based view in its strategies and business models. In this chapter, Kevin Werbach explores this paradox, contrasting the worldview of Monists such as AT&T, who see the infrastructure as inseparable from the network, and Dualists such as Google, who see the network and its applications as distinct from the underlying infrastructure. Not surprisingly, AT&T is a proponent of “tiered access” whereas Google argues for “network neutrality.” Finally, Werbach examines how a more modular future might bridge the gap between those who seek to own and capitalize on the network and those who seek to expand it through more neutral offerings.

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. Here, more than 50 leading thinkers in business and many other disciplines take on the challenge of understanding, managing, and leveraging networks.

Global networks of firms are rapidly replacing top-down, hierarchical organizations. Such networks, thanks to information technology and global communications systems, can respond to changes in international demand faster and more flexibly than rigid corporate organizations of the past. But by drawing together diverse cultures and individuals, these networks present new challenges to leaders. Traditional styles of leadership are not enough for this emerging environment. The kind of leadership style that leads to efficient execution in these global networks is different from the “do it and do it now” approach that might work in hierarchical organizations. Based on the author’s experience in the leading global accounting firm Touche Ross, serving as dean of the Wharton School, and heading his own corporate investment firm, this chapter discusses leadership in a networked, global environment.

Biology remains the most extensive and complex information network on the planet. This chapter examines the nature of biological networks, including their inherent stability and risks to their resilience. After a general introduction exploring networks and biological systems, this chapter reviews (1) the evolution of biological networks; (2) principles that govern biological networks; and (3) measures of stability, productivity, and efficiency in biological networks. The authors use examples from food (energy) transfer in rainforests and coral reefs, as well as the creation of a biological network through colonization in Darwin’s Finches of the Galapagos Islands. Research shows that while large biological networks are inherently unstable, some are more stable than others.

Logistics is at the center of network-based manufacturing strategies, linking manufacturing sources with intermediate and final markets. As global logistics networks have grown and developed, they also have presented new challenges in managing risk and volatility across these broad, global networks. In this chapter, Kleindorfer and Visvikis discuss changes in logistics and financial instruments such as derivatives that have emerged to value and hedge the cost of capacity and services in these markets. They trace the recent history of maritime logistics and describe the convergence and integration of the physical and financial networks that underlie the valuation and use of logistics services. Global logistics illustrates how network-based strategies have integrated financial and physical networks. It also shows the emerging tools and competencies that have been needed to manage new risks arising from these broader 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.

Modern financial systems exhibit a high degree of interdependence, with connections between financial institutions stemming from both the asset and the liability sides of their balance sheets. Networks--broadly understood as a collection of nodes and links between nodes--can be a useful representation of financial systems. By modeling economic interactions, network analysis can better explain certain economic phenomena. In this chapter, Allen and Babus argue that the use of network theories can enrich our understanding of financial systems. They explore several critical issues. First, they address the issue of systemic risk, by studying two questions: how resilient financial networks are to contagion, and how financial institutions form connections when exposed to the risk of contagion. Second, they consider how network theory can be used to explain freezes in the interbank market. Third, they examine how social networks can improve investment decisions and corporate governance, based on recent empirical results. Fourth, they examine the role of networks in distributing primary issues of securities. Finally, they consider the role of networks as a form of mutual monitoring, as in microfinance.

Information about life-and-death matters such as ways to attain good health or prevent disease is often diffused through informal social networks. Network-based strategies and competencies are probably even more important in poor societies with limited means of communication and less effective formal structures than in developed economies. In this chapter, the authors explore the nature of and impacts of informal social networks in reducing fertility and HIV infection in Kenya and Malawi, using longitudinal quantitative and qualitative data that they and their collaborators have been collecting and analyzing for more than a decade. They find that social networks and informal interactions are relevant for many different health domains in developing countries. Their research shows that network effects may be nonlinear, that there may be multiple equilibria, and that networks may either reinforce the status quo or help diffuse new options and behaviors. They show that both the context (e.g., the degree of market development) and the density of networks matter (possibly interactively), as well as the endogeneity of network partners. Their work demonstrates that multiple approaches, including both qualitative and quantitative analyses, can be informative in providing greater understanding of what networks do and how they function.

Infectious diseases are complex, interdependent events that can be described as networks over enormous scales of time and distance from the molecular to the societal, from the local microenvironment to the global stage. In this chapter, Teh and Rubin argue that meeting this challenge effectively requires a solution that engages networks. This network-based perspective must inform not only the development and distribution of drugs and vaccines for infectious diseases, but also the development of strategies of primary prevention that use the knowledge of such networks to disrupt and limit disease spread. In this review, they analyze infectious diseases in the context of the networks underlying the evolution, establishment, and propagation of disease. They also review the network-based analyses for modeling disease spread and allowing a better understanding of the counter-interventions needed. Finally, they outline the future challenges in this area and propose a collaborative international solution based on a “global compact” that will allow effective diagnosis, prevention, and treatment of infectious diseases.