Research Methods in Social Network Analysis

Research Methods in Social Network Analysis
Author :
Publisher : Transaction Publishers
Total Pages : 306
Release :
ISBN-10 : 1560005696
ISBN-13 : 9781560005698
Rating : 4/5 (96 Downloads)

Book Synopsis Research Methods in Social Network Analysis by : Linton C. Freeman

Download or read book Research Methods in Social Network Analysis written by Linton C. Freeman and published by Transaction Publishers. This book was released on 1992 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since the publication of Herbert Spencer's Principles of Sociology in 1875, the use of social structure as a defining concept has produced a large body of creative speculations, insights, and intuitions about social life. However, writers in this tradition do not always provide the sorts of formal definitons and propositions that are the building blocks of modern social research. In its broad-ranging examination of the kind of data that form the basis for the systematic study of social structure, Research Methods in Social Network Analysis marks a significant methodological advance in network studies. As used in this volume, social structure refers to a bundle of intuitive natural language ideas and concepts about patterning in social relationships among people. In contrast, social networks is used to refer to a collection of precise analytic and methodological concepts and procedures that facilitate the collection of data and the systematic study of such patterning. Accordingly, the book's five sections are arranged to address analytical problems in a series of logically ordered stages or processes. The major contributors define the fundamental modes by which social structural phenomena are to be represented; how boundaries to a social structure are set; how the relations of a network are measured in terms of structure and content; the ways in which the relational structure of a network affects system actors; and how actors within a social network are clustered into cliques or groups. The chapters in the last section build on solutions to problems proposed in the previous sections. This highly unified approach to research design combined with a representative diversity of viewpoints makes Research Methods in Social Network Analysis a state-of-the-art volume.


Research Methods in Social Network Analysis Related Books

Research Methods in Social Network Analysis
Language: en
Pages: 306
Authors: Linton C. Freeman
Categories: Social Science
Type: BOOK - Published: 1992 - Publisher: Transaction Publishers

DOWNLOAD EBOOK

Since the publication of Herbert Spencer's Principles of Sociology in 1875, the use of social structure as a defining concept has produced a large body of creat
Social Network Analysis
Language: en
Pages: 0
Authors: Song Yang
Categories: Social Science
Type: BOOK - Published: 2016-12-02 - Publisher: SAGE Publications, Incorporated

DOWNLOAD EBOOK

Social Network Analysis: Methods and Examples by Song Yang, Franziska B. Keller, and Lu Zheng prepares social science students to conduct their own social netwo
Mixed Methods Social Network Analysis
Language: en
Pages: 296
Authors: Dominik E. Froehlich
Categories: Computers
Type: BOOK - Published: 2019-12-09 - Publisher: Routledge

DOWNLOAD EBOOK

Mixed Methods Social Network Analysis brings together diverse perspectives from 42 international experts on how to design, implement, and evaluate mixed methods
What is Social Network Analysis?
Language: en
Pages: 137
Authors: John Scott
Categories: Social Science
Type: BOOK - Published: 2012-08-21 - Publisher: A&C Black

DOWNLOAD EBOOK

Part of the What is..? series, this book is an introductory guide providing explanations of the nature of social network methods.
Models and Methods in Social Network Analysis
Language: en
Pages: 328
Authors: Peter J. Carrington
Categories: Psychology
Type: BOOK - Published: 2005-02-07 - Publisher:

DOWNLOAD EBOOK

Models and Methods in Social Network Analysis presents the most important developments in quantitative models and methods for analyzing social network data that