Managing Complex Networks

Although the concept of policy networks is now well-established in the field, most research has to content itself with description and analysis of their contribution to policy failure. This book goes further. It accepts policy networks as a fundamental characteristic of modern societies and presents an overview of the strategies for the management of these networks, as well as illustrating the various strategies for intervention.

Concerned with the management of complex long-term engineering projects, this important volume, of great interest to postgraduate students of business, technology management and engineering, reports on a set of rich, novel and unique findings concerning the conduct and management of three high profile and complex projects. The major investments which constitute complex long-term projects represent an increasingly important source of economic activity, often with particularly significant consequences for economic growth and public policy. This informative volume expertly contributes to broader debates concerning new organizational forms, knowledge management and organizational learning and the management of innovation in project-based settings.

From foundations to state-of-the-art; the tools and philosophy you need to build network models.

The first book demonstrating how to apply the principles of social network analysis to managing complex projects This groundbreaking book gets project managers and students up to speed on state-of-the-art applications of social network analysis (SNA) for observing, analysing, and managing complex projects. Written by an expert at the leading edge of the SNA project management movement, it clearly demonstrates how the principles of social network analysis can be used to provide a smarter, more efficient, holistic approach to managing complex projects. Project managers, especially those tasked with managing large, complex construction and engineering projects, traditionally have relied upon analysis and decision-making based upon hierarchical structures and vaguely defined project systems, much of which is borrowed from historic scientific management approaches. However, it has become apparent that a more sophisticated methodology is required for observing project systems and managing relationships with today’s more knowledgeable and demanding clients. Social network analysis (SNA) provides just such an approach. Unfortunately, existing books on social network analysis are written primarily for sociologists and mathematicians, with little or no regard for the needs of project managers — until now. The first and only book of its kind, Managing Networks in Project-Based Organisations: Offers a framework and a fully-developed approach to applying SNA theory and methodologies to large, complex projects Describes highly effective strategies and techniques for managing the iterative and transient relationships between network-defining actor roles involved in the delivery of complex projects Uses numerous real-world examples and case studies of successful applications of SNA to large-scale construction and engineering projects around the world Draws on its author’s decades of experience managing complex projects for demanding clients, as well as his extensive academic research in Project Management Managing Networks in Project-Based Organisations is an important working resource for project management professionals and consultants, especially those serving the construction and engineering industries. It is also an excellent text/reference for postgraduate students of project management and supply chain management, as well as academic researchers of project management.

Complex Social Networks is a newly emerging (hot) topic with applications in a variety of domains, such as communication networks, engineering networks, social networks, and biological networks. In the last decade, there has been an explosive growth of research on complex real-world networks, a theme that is becoming pervasive in many disciplines, ranging from mathematics and computer science to the social and biological sciences. Optimization of complex communication networks requires a deep understanding of the interplay between the dynamics of the physical network and the information dynamics within the network. Although there are a few books addressing social networks or complex networks, none of them has specially focused on the optimization perspective of studying these networks. This book provides the basic theory of complex networks with several new mathematical approaches and optimization techniques to design and analyze dynamic complex networks. A wide range of applications and optimization problems derived from research areas such as cellular and molecular chemistry, operations research, brain physiology, epidemiology, and ecology.

This elementary book provides some state-of-the-art research results on broad disciplinary sciences on complex networks. It presents an in-depth study with detailed description of dynamics, controls and applications of complex networks. The contents of this book can be summarized as follows. First, the dynamics of complex networks, for example, the cluster dynamic analysis by using kernel spectral methods, community detection algorithms in bipartite networks, epidemiological modeling with demographics and epidemic spreading on multi-layer networks, are studied. Second, the controls of complex networks are investigated including topics like distributed finite-time cooperative control of multi-agent systems by applying homogenous-degree and Lyapunov methods, composite finite-time containment control for disturbed second-order multi-agent systems, fractional-order observer design of multi-agent systems, chaos control and anticontrol of complex systems via Parrondos game and many more. Third, the applications of complex networks provide some applicable carriers, which show the importance of theories developed in complex networks. In particular, a general model for studying time evolution of transition networks, deflection routing in complex networks, recommender systems for social networks analysis and mining, strategy selection in networked evolutionary games, integration and methods in computational biology, are discussed in detail.

The customer base is an important value driver of software companies and a reliable prediction of its development is fundamental for investment decisions. A particularity in software markets is that an individual’s purchasing decision is often influenced by other users’ choices. Although such customer network effects are evident, their quantitative assessment remain elusive with conventional approaches. This book contributes to closing this gap by developing methods for measuring network effects and their implications for valuation in software markets. Based on the theory of complex networks the book reveals that such diffusion processes highly depend on structural properties of customer networks. Moreover, it depicts that such insights are contributions to improve the quality of valuations in software markets. But the implications of this research also comprise social and political aspects as they can be applied in order to prevent corporate failures in all network effect markets.

This book highlights cutting-edge research in the field of network science, offering scientists, researchers, students, and practitioners a unique update on the latest advances in theory and a multitude of applications. It presents the peer-reviewed proceedings of the Eighth International Conference on Complex Networks and their Applications (COMPLEX NETWORKS 2019), which took place in Lisbon, Portugal, on December 10–12, 2019. The carefully selected papers cover a wide range of theoretical topics such as network models and measures; community structure, and network dynamics; diffusion, epidemics, and spreading processes; resilience and control as well as all the main network applications, including social and political networks; networks in finance and economics; biological and neuroscience networks; and technological networks.