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A Structural Theory of Social Influence
This book describes how a network of interpersonal influence can operate to form agreements among persons who occupy different positions in a group or organization. It presents an account of consensus formation that is unique in its integration of work from the fields of social psychology and sociology concerned with group dynamics and social structures.
Social Influence Network Theory
Social influence network theory presents a mathematical formalization of the social process of attitude changes that unfolds in a social network of interpersonal influences. This book brings the theory to bear on lines of research in the domain of small group dynamics concerned with changes of group members' positions on an issue, including the formation of consensus and of settled disagreement, via endogenous interpersonal influences, in which group members are responding to the displayed positions of the members of the group. Social influence network theory advances a dynamic social cognition mechanism, in which individuals are weighing and combining their own and others' positions on an issue in the revision of their own positions. The influence network construct of the theory is the social structure of the endogenous interpersonal influences that are involved in this mechanism. With this theory, the authors seek to lay the foundation for a better formal integration of classical and current lines of work on small groups in psychological and sociological social psychology.
A Structural Theory of Social Influence
This book describes how a network of interpersonal influence can operate to form agreements among persons who occupy different positions in a group or organization. It presents an account of consensus formation that is unique in its integration of work from the fields of social psychology and sociology concerned with group dynamics and social structures.
Advances in Social Network Analysis
Social network analysis, a method for analyzing relationships between social entities, has expanded over the last decade as new research has been done in this area. How can these new developments be applied effectively in the behavioral and social sciences disciplines? In Advances in Social Network Analysis, a team of leading methodologists in network analysis addresses this issue. They explore such topics as ways to specify the network contents to be studied, how to select the method for representing network structures, how social network analysis has been used to study interorganizational relations via the resource dependence model, how to use a contact matrix for studying the spread of disease in epidemiology, and how cohesion and structural equivalence network theories relate to studying social influence. It also offers statistical models for social support networks. Advances in Social Network Analysis is useful for researchers involved in general research methods and qualitative methods, and who are interested in psychology and sociology.
Social Capital
1. Theories of Capital: The Historical Foundation. 3. 2. Social Capital: Capital Captured through Social Relations. 19. 3. Resources, Hierarchy, Networks, and Homophily: The Structural Foundation. 29. 4. Resources, Motivations, and Interactions: The Action Foundation. 41. 5. The Theory and Theoretical Propositions. 55. 6. Social Capital and Status Attainment: A Research Tradition. 78. 7. Inequality in Social Capital: A Research Agenda. 99. 8. Social Capital and the Emergence of Social Structure: A Theory of Rational Choice. 127. 9. Reputation and Social Capital: The Rational Basis for Social Exchange. 143. 10. Social Capital in Hierarchical Structures. 165. 11. Institutions, Networks, and Capital Building: Societal Transformations. 184. 12. Cybernetworks and the Global Village: The Rise of Social Capital. 210. 13. The Future of the Theory. 243. . References. 251. . Index. 267.
Introduction to Mathematical Sociology
A comprehensive textbook on the tools of mathematical sociology and their applications Mathematical models and computer simulations of complex social systems have become everyday tools in sociology. Yet until now, students had no up-to-date textbook from which to learn these techniques. Introduction to Mathematical Sociology fills this gap, providing undergraduates with a comprehensive, self-contained primer on the mathematical tools and applications that sociologists use to understand social behavior. Phillip Bonacich and Philip Lu cover all the essential mathematics, including linear algebra, graph theory, set theory, game theory, and probability. They show how to apply these mathematical ...
Japan's Network Economy
Japan's economy has long been described as network-centric. A web of stable, reciprocated relations among banks, firms, and ministries, is thought to play an important role in Japan's ability to navigate smoothly around economic shocks. Now those networks are widely blamed for Japan's faltering competitiveness. This book applies structural sociology to a study of how the form and functioning of this network economy has evolved from the prewar era to the late 90s. It asks whether, in the face of deregulation, globalization, and financial disintermediation, Japan's corporate networks - the keiretsu groupings particularly - have 'withered away', losing their cohesion and their historical function of supporting member firms in hard times. Using detailed quantitative and qualitative analysis, this book's conclusion is a qualified 'yes'. Relationships remain central to the Japanese way of business, but are much more subordinated to the competitive strategy of the enterprise than the network economy of the past.
Personal Networks
Combines classic and cutting-edge scholarship on personal social networks. A must-have resource for both newcomers and seasoned experts.
Dynamic Social Network Modeling and Analysis
In the summer of 2002, the Office of Naval Research asked the Committee on Human Factors to hold a workshop on dynamic social network and analysis. The primary purpose of the workshop was to bring together scientists who represent a diversity of views and approaches to share their insights, commentary, and critiques on the developing body of social network analysis research and application. The secondary purpose was to provide sound models and applications for current problems of national importance, with a particular focus on national security. This workshop is one of several activities undertaken by the National Research Council that bears on the contributions of various scientific disciplines to understanding and defending against terrorism. The presentations were grouped in four sessions â€" Social Network Theory Perspectives, Dynamic Social Networks, Metrics and Models, and Networked Worlds â€" each of which concluded with a discussant-led roundtable discussion among the presenters and workshop attendees on the themes and issues raised in the session.
Social Capital and Entrepreneurship
Social Capital and Entrepreneurship concludes by examining the tension between the properties of social networks used in entrepreneurship researchers' models and the limited perspective on networks available to practicing entrepreneurs.
