Multilevel Network Analysis for the Social Sciences

Author: Emmanuel Lazega
Publisher: Springer
ISBN: 3319245201
Format: PDF, Mobi
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This volume provides new insights into the functioning of organizational, managerial and market societies. Multilevel analysis and social network analysis are described and the authors show how they can be combined in developing the theory, methods and empirical applications of the social sciences. This book maps out the development of multilevel reasoning and shows how it can explain behavior, through two different ways of contextualizing it. First, by identifying levels of influence on behavior and different aggregations of actors and behavior, and complex interactions between context and behavior. Second, by identifying different levels as truly different systems of agency: such levels of agency can be examined separately and jointly since the link between them is affiliation of members of one level to collective actors at the superior level. It is by combining these approaches that this work offers new insights. New case studies and datasets that explore new avenues of theorizing and new applications of methodology are presented. This book will be useful as a reference work for all social scientists, economists and historians who use network analyses and multilevel statistical analyses. Philosophers interested in the philosophy of science or epistemology will also find this book valuable. ​

Social Network Analysis

Author: Stanley Wasserman
Publisher: Cambridge University Press
ISBN: 9780521387071
Format: PDF, Docs
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Covers methods for the analysis of social networks and applies them to examples.

Interpersonal Networks in Organizations

Author: Martin Kilduff
Publisher: Cambridge University Press
ISBN: 1139474103
Format: PDF, ePub
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This book brings a social networks perspective to bear on topics of leadership, decision-making, turnover, organizational crises, organizational culture, and other major organizational behavior topics. It offers a new direction for organizational behavior theory and research by drawing from social network ideas. Across diverse research topics, the authors pursue an integrated focus on social ties both as they are represented in the cognitions of individuals and as they operate as constraints and opportunities in organizational settings. The authors bring their 20 years worth of research experience together to provide a programmatic social network approach to understanding the internal functioning of organizations. By focusing a distinctive research lens on interpersonal networks, they attempt to discover the keys to the whole realm of organizational behavior through the social network approach.

Methodology and Epistemology of Multilevel Analysis

Author: D. Courgeau
Publisher: Springer Science & Business Media
ISBN: 1402046758
Format: PDF, Mobi
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The purpose of the multilevel approach is to understand individual behaviors taking into account the social context in which they occur. This book deals with concepts and methods underlying this approach. This book is of interest to a broad audience of social scientists, statisticians and philosophers concerned with new issues raised by the multilevel approach, and more generally with explanation in the social sciences.

Methods for Multilevel Analysis and Visualisation of Geographical Networks

Author: Céline Rozenblat
Publisher: Springer Science & Business Media
ISBN: 9400766777
Format: PDF, Kindle
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This leading-edge study focuses on the latest techniques in analysing and representing the complex, multi-layered data now available to geographers studying urban zones and their populations. The volume tracks the successful results of the SPANGEO Project, which was set up in 2005 to standardize, and share, the syncretic, multinational mapping techniques already developed by geographers and computer scientists. SPANGEO sought new and responsive ways of visualising urban geographical and social data that reflected the fine-grained detail of the inputs. It allowed for visual representation of the large and complex networks and flows which are such an integral feature of the dynamism of urban geography. SPANGEO developed through the ‘visual analytics loop’ in which geographers collaborated with computer scientists by feeding data into the design of visualisations that in turn spawned the urge to incorporate more varied data into the visualisation. This volume covers all the relevant aspects, from conceptual principles to the tools of network analysis and the actual results flowing from their deployment. Detailed case studies set out in this volume include spatial multi-level analyses of flows in airports and sea ports, as well as the fascinating scientific networks in European cities. The volume shows how the primary concern of geography—the interaction of society with physical space—has been revivified by the complexities of new cartographical and statistical methodologies, which allow for highly detailed mapping and far more powerful computer analysis of spatial relationships.

Probability and Social Science

Author: Daniel Courgeau
Publisher: Springer Science & Business Media
ISBN: 9400728794
Format: PDF, Docs
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This work examines in depth the methodological relationships that probability and statistics have maintained with the social sciences from their emergence. It covers both the history of thought and current methods. First it examines in detail the history of the different paradigms and axioms for probability, from their emergence in the seventeenth century up to the most recent developments of the three major concepts: objective, subjective and logicist probability. It shows the statistical inference they permit, different applications to social sciences and the main problems they encounter. On the other side, from social sciences—particularly population sciences—to probability, it shows the different uses they made of probabilistic concepts during their history, from the seventeenth century, according to their paradigms: cross-sectional, longitudinal, hierarchical, contextual and multilevel approaches. While the ties may have seemed loose at times, they have more often been very close: some advances in probability were driven by the search for answers to questions raised by the social sciences; conversely, the latter have made progress thanks to advances in probability. This dual approach sheds new light on the historical development of the social sciences and probability, and on the enduring relevance of their links. It permits also to solve a number of methodological problems encountered all along their history.

Causality and Causal Modelling in the Social Sciences

Author: Federica Russo
Publisher: Springer Science & Business Media
ISBN: 1402088175
Format: PDF
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This investigation into causal modelling presents the rationale of causality, i.e. the notion that guides causal reasoning in causal modelling. It is argued that causal models are regimented by a rationale of variation, nor of regularity neither invariance, thus breaking down the dominant Human paradigm. The notion of variation is shown to be embedded in the scheme of reasoning behind various causal models. It is also shown to be latent – yet fundamental – in many philosophical accounts. Moreover, it has significant consequences for methodological issues: the warranty of the causal interpretation of causal models, the levels of causation, the characterisation of mechanisms, and the interpretation of probability. This book offers a novel philosophical and methodological approach to causal reasoning in causal modelling and provides the reader with the tools to be up to date about various issues causality rises in social science.

Knowledge and Networks

Author: Johannes Glückler
Publisher: Springer
ISBN: 3319450239
Format: PDF, ePub
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This book discusses a core question in many fields of the social sciences, namely how to create, share and adopt new knowledge. It creates an original space for conversation between two lines of research that have developed largely in parallel for a long time: social network theory and the geography of knowledge. This book considers that relational thinking has become increasingly important for scholars to capture societal outcomes by studying social relations and networks, whereas the role of place, space and spatial scales has been somewhat neglected outside an emergent geography of knowledge. The individual contributions help integrate network arguments of connectivity, geographical arguments of contiguity and contextuality into a more comprehensive understanding of the ways in which people and organizations are constrained by and make use of space and networks for learning and innovation. Experts in the fields of geography, sociology, economics, political science, psychology, management and organizational studies develop conceptual models and propose empirical research that illustrates the ways in which networks and geography play together in processes of innovation, learning, leadership, and power. This book is open access under a CC BY 4.0 license.

Advances in Social Network Analysis

Author: Stanley Wasserman
Publisher: SAGE Publications
ISBN: 1452253919
Format: PDF, ePub
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In this book, leading methodologists address the issue of how effectively to apply the latest developments in social network analysis to behavioural and social science disciplines. Topics examined include: 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. The book also offers some statistical models for social support networks.

Configurational Theory and Methods in Organizational Research

Author: Peer C. Fiss
Publisher: Emerald Group Publishing
ISBN: 1781907781
Format: PDF
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Some 20 years after the emergence of configurational theory as a key perspective in organization studies in the 1990s, this approach has yet to deliver on its promise. While we know that configurations – the relative arrangement of parts and elements - matters, empirical research on configurations is just beginning to deliver on its promise. The starting point of the edited volume is the revival and evolution of a configurational perspective on organizations, both in terms of the use of configurational set-theoretic methods such as Qualitative Comparative Analysis (QCA) and in terms of configurational theorizing that has emerged from the use of such methods. The volume brings together a variety of scholars working with set theoretic configurational methods to apply these methods to a range of prominent fields in organization studies, ranging from organizational design, international business, and human resource practices to networks and the management of information systems. Each author or group of authors pays specific attention to assessing the potential of set-theoretical configurational methods for organization studies. Two extensive introductory chapters discuss the state of the art with regard to different set-theoretic (fuzzy set and crisp set) methods. In three response pieces leading scholars offer a reflection on the potential of set-theoretic methods for organizational analysis. The volume aims to provide both inspiration and practical advice on how to conduct configurational analysis. The chapters illustrate the breadth of organizational fields and the growing range of topics for which the configurational perspective can provides insights. This volume vividly illustrates that the configurational approach is maturing. It aims to inspire organizational scholars to develop theories and methods that truly consider organizations as clusters of interconnected structures and practices that have to be studied as configurations.