Networks Of Influence

Networks are thriving in global politics. Some bring policy-makers from different countries together to share problems and to forge possible solutions, free from rules of representation, decision-making, and transparency which constrain more formal international organizations. This book asks whether developing countries can benefit from such networks? Or are they safer to conduct their international relations in formal institutions? The answer varies. The key lies in how the network is structured and what it sets out to achieve. This book presents a fascinating account of how some networks have strengthened the position of developing country officials, both at home, and in their international negotiations. Equally, it points to conditions which make it perilous for developing countries to rely on networks.

Networks are thriving in global politics. Some bring policy-makers from different countries together to share problems and to forge possible solutions, free from rules of representation, decision-making, and transparency which constrain more formal international organizations. This book asks whether developing countries can benefit from such networks? Or are they safer to conduct their international relations in formal institutions? The answer varies. The key lies in how the network is structured and what it sets out to achieve. This book presents a fascinating account of how some networks have strengthened the position of developing country officials, both at home, and in their international negotiations. Equally, it points to conditions which make it perilous for developing countries to rely on networks.

Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis, Second Edition, provides a comprehensive guide for practitioners who wish to understand, construct, and analyze intelligent systems for decision support based on probabilistic networks. This new edition contains six new sections, in addition to fully-updated examples, tables, figures, and a revised appendix. Intended primarily for practitioners, this book does not require sophisticated mathematical skills or deep understanding of the underlying theory and methods nor does it discuss alternative technologies for reasoning under uncertainty. The theory and methods presented are illustrated through more than 140 examples, and exercises are included for the reader to check his or her level of understanding. The techniques and methods presented for knowledge elicitation, model construction and verification, modeling techniques and tricks, learning models from data, and analyses of models have all been developed and refined on the basis of numerous courses that the authors have held for practitioners worldwide.

Tehran’s ability to fight by, with and through third parties in foreign jurisdictions has become a valuable and effective sovereign capability that gives Iran strategic advantage in the region. Tehran has possessed a form of this capability since the Islamic Revolution in 1979, but its potency and significance have risen sharply in the past decade, to the point where it has brought Iran more regional influence and status than either its nuclear or ballistic-missile programmes. The IISS Strategic Dossier Iran’s Networks of Influence provides an understanding of how Iran builds, operates and uses this capability. Based on original field research, open-source information and interviews with a range of sources, the dossier conducts an audit of Iran’s activities in the principal regional theatres of Iraq, Lebanon, Syria and Yemen, and its reach into Bahrain, Saudi Arabia and Kuwait. It includes an examination of Tehran’s nurturing of groups such as the Houthis in Yemen, the Badr Organisation in Iraq, Hizbullah in Lebanon and Shia militias in Syria, and details related to recruitment, weapons supply, logistics and command-and-control systems. Iran’s Networks of Influence is intended through objective, fact-based analysis to inform both policymakers and practitioners, and to stimulate debate on the wider significance of Iran’s use of third-party partners and the strategic depth they afford Tehran. The dossier also examines the advantages that Iran possesses through its recent experience of conflict, and its ability to mobilise and deploy sympathetic Shia communities across theatres. In a time of rising tension in the region, the dossier looks at how Iran might further develop the use of its partnership capability and the risks and constraints it might face.

Planning is centrally focused on places which are significant to people, including both the built and natural environments. In making changes to these places, planning outcomes inevitably benefit some and disadvantage others. It is perhaps surprising that Actor Network Theory (ANT) has only recently been considered as an appropriate lens through which to understand planning practice. This book brings together an international range of contributors to explore such potential of ANT in more detail. While it can be thought of as a subset of complexity theory, given its appreciation for non-linear processes and responses, ANT has its roots in the sociology of scientific and technology studies. ANT now comprises a rich set of concepts that can be applied in research, theoretical and empirical. It is a relational approach that posits a radical symmetry between social and material actors (or actants). It suggests the importance of dynamic processes by which networks of relationships become formed, shift and have effect. And while not inherently normative, ANT has the potential to strengthen other more normative domains of planning theory through its unique analytical lens. However, this requires theoretical and empirical work and the papers in this volume undertake such work. This is the first volume to provide a full consideration of how ANT can contribute to planning studies, and suggests a research agenda for conceptual development and empirical application of the theory.

Research on social networks has exploded over the last decade. To a large extent, this has been fueled by the spectacular growth of social media and online social networking sites, which continue growing at a very fast pace, as well as by the increasing availability of very large social network datasets for purposes of research. A rich body of this research has been devoted to the analysis of the propagation of information, influence, innovations, infections, practices and customs through networks. Can we build models to explain the way these propagations occur? How can we validate our models against any available real datasets consisting of a social network and propagation traces that occurred in the past? These are just some questions studied by researchers in this area. Information propagation models find applications in viral marketing, outbreak detection, finding key blog posts to read in order to catch important stories, finding leaders or trendsetters, information feed ranking, etc. A number of algorithmic problems arising in these applications have been abstracted and studied extensively by researchers under the garb of influence maximization. This book starts with a detailed description of well-established diffusion models, including the independent cascade model and the linear threshold model, that have been successful at explaining propagation phenomena. We describe their properties as well as numerous extensions to them, introducing aspects such as competition, budget, and time-criticality, among many others. We delve deep into the key problem of influence maximization, which selects key individuals to activate in order to influence a large fraction of a network. Influence maximization in classic diffusion models including both the independent cascade and the linear threshold models is computationally intractable, more precisely #P-hard, and we describe several approximation algorithms and scalable heuristics that have been proposed in the literature. Finally, we also deal with key issues that need to be tackled in order to turn this research into practice, such as learning the strength with which individuals in a network influence each other, as well as the practical aspects of this research including the availability of datasets and software tools for facilitating research. We conclude with a discussion of various research problems that remain open, both from a technical perspective and from the viewpoint of transferring the results of research into industry strength applications.

This book constitutes the refereed proceedings of the 6th International Workshop on Internet and Network Economics, WINE 2010, held in Stanford, USA, in December 2010. The 52 revised full papers presented were carefully reviewed and selected from 95 submissions. The papers are organized in 33 regular papers and 19 short papers.

During the nineteenth century Liverpool became the heart of an international maritime network. As the 'second city' of Empire, its merchants and shipowners operated within a transnational commercial and financial system, while its trading connections stimulated the development of new markets and their integration within an increasingly global economy. This ground-breaking volume brings together ten original contributions that reflect upon the development of the city's business community from the early-nineteenth century to the outbreak of the First World War with an emphasis on the period from 1851 to 1912. It offers the first detailed analysis of Liverpool's merchant community within a conceptual and historiographical framework which focuses on the economic, social and cultural role of business elites in the nineteenth century. It explores the extent to which business success was predicated on the maintenance of networks of trust; analyses the importance of business culture in structuring commercial operations; and discusses the role of ethics, trust and reputation within the changing framework of the business environment. Particular attention is paid to the role of women and the important contribution of the family to commercial success and the maintenance of social networks. Changes in business practice and social networks are also examined within a spatial context in order to assess the impact of the development of a distinct commercial centre and the clustering of commercial activity on interaction, reputation and trust, while particular attention is paid to the effect of suburbanization on existing associational networks, the social cohesiveness of business culture, and the cultural identity of the merchant community as a whole.