what is social network analysis
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File Size : 44,9 Mb
Total Download : 203
Author : Stanley Wasserman
language : en
Publisher: Cambridge University Press
Release Date : 1994-11-25
Download Social Network Analysis written by Stanley Wasserman and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994-11-25 with Social Science categories.
Covers methods for the analysis of social networks and applies them to examples.
Social Network Analysis
File Size : 52,7 Mb
Total Download : 779
Author : John Scott
language : en
Publisher: Sage Publications Ltd
Release Date : 2000-03-25
Download Social Network Analysis written by John Scott and has been published by Sage Publications Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000-03-25 with Social Science categories.
The revised and updated edition of this bestselling text provides an accessible introduction to the theory and practice of network analysis in the social sciences. It gives a clear and authoritative guide to the general framework of network analysis, explaining the basic concepts, technical measures and reviewing the available computer programs. The book outlines both the theoretical basis of network analysis and the key techniques for using it as a research tool. Building upon definitions of points, lines and paths, John Scott demonstrates their use in clarifying such measures as density, fragmentation and centralization. He identifies the various cliques, components and circles into which networks are formed, and outlines
Social Network Analysis For Startups
File Size : 48,9 Mb
Total Download : 487
Author : Maksim Tsvetovat
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2011-10-06
Download Social Network Analysis For Startups written by Maksim Tsvetovat and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-10-06 with Computers categories.
SNA techniques are derived from sociological and social-psychological theories and take into account the whole network (or, in case of very large networks such as Twitter -- a large segment of the network). Thus, we may arrive at results that may seem counter-intuitive -- e.g. that Jusin Bieber (7.5 mil. followers) and Lady Gaga (7.2 mil. followers) have relatively little actual influence despite their celebrity status -- while a middle-of-the-road blogger with 30K followers is able to generate tweets that "go viral" and result in millions of impressions. O'Reilly's "Mining Social Media" and "Programming Collective Intelligence" books are an excellent start for people inteseted in SNA. This book builds on these books' foundations to teach a new, pragmatic, way of doing SNA. I would like to write a book that links theory ("why is this important?", "how do various concepts interact?", "how do I interpret quantitative results?") and practice -- gathering, analyzing and visualizing data using Python and other open-source tools.
Advances In Social Network Analysis
File Size : 47,5 Mb
Total Download : 473
Author : Stanley Wasserman
language : en
Publisher: SAGE
Release Date : 1994-08-12
Download Advances In Social Network Analysis written by Stanley Wasserman and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994-08-12 with Social Science categories.
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.
Trends In Social Network Analysis
File Size : 43,7 Mb
Total Download : 278
Author : Rokia Missaoui
language : en
Publisher: Springer
Release Date : 2017-04-29
Download Trends In Social Network Analysis written by Rokia Missaoui and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-04-29 with Computers categories.
The book collects contributions from experts worldwide addressing recent scholarship in social network analysis such as influence spread, link prediction, dynamic network biclustering, and delurking. It covers both new topics and new solutions to known problems. The contributions rely on established methods and techniques in graph theory, machine learning, stochastic modelling, user behavior analysis and natural language processing, just to name a few. This text provides an understanding of using such methods and techniques in order to manage practical problems and situations. Trends in Social Network Analysis: Information Propagation, User Behavior Modelling, Forecasting, and Vulnerability Assessment appeals to students, researchers, and professionals working in the field.
Models And Methods In Social Network Analysis
File Size : 50,9 Mb
Total Download : 621
Author : Peter J. Carrington
language : en
Publisher: Cambridge University Press
Release Date : 2005-02-07
Download Models And Methods In Social Network Analysis written by Peter J. Carrington and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-02-07 with Social Science categories.
Models and Methods in Social Network Analysis, first published in 2005, presents the most important developments in quantitative models and methods for analyzing social network data that have appeared during the 1990s. Intended as a complement to Wasserman and Faust's Social Network Analysis: Methods and Applications, it is a collection of articles by leading methodologists reviewing advances in their particular areas of network methods. Reviewed are advances in network measurement, network sampling, the analysis of centrality, positional analysis or blockmodelling, the analysis of diffusion through networks, the analysis of affiliation or 'two-mode' networks, the theory of random graphs, dependence graphs, exponential families of random graphs, the analysis of longitudinal network data, graphical techniques for exploring network data, and software for the analysis of social networks.
Social Network Analysis In Program Evaluation
File Size : 51,6 Mb
Total Download : 625
Author : Maryann M. Durland
language : en
Publisher: Jossey-Bass Inc Pub
Release Date : 2006-02-10
Download Social Network Analysis In Program Evaluation written by Maryann M. Durland and has been published by Jossey-Bass Inc Pub this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-02-10 with Education categories.
This important issue of New Directions for Evaluation highlights social network analysis (SNA) methodology and its application within program evaluation. The application of SNA is relatively new for mainstream evaluation, and like most other innovations, it has yet to be fully explored in this field. The volume aims to fill the gaps within SNA methodology exploration by first reviewing the foundations and development of network analysis within the social sciences and the field of evaluation. The focus then turns to the methodology. Who holds power in a network, and what measures indicate whether that power is direct or indirect? Which subgroups have formed, and where are they positioned in an organization? How divided is an organization? Who forms the core of a collaboration, and where are the experts in an organization? These are the types of common questions explored in the four case studies of the use of network analysis within an evaluative framework. These cases are diverse in their evaluation situations and in the application of measures, providing a basis to model common applications of network analysis within the field. The final chapters include a personal account of current use by a government agency and suggestions for the future use of SNA for evaluation practice.
