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Network Analysis (Statistical Associates Blue Book Series 30) by [Garson, G. David]

Network Analysis (Statistical Associates Blue Book Series 30) Kindle Edition

by G. David Garson (Author)

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NETWORK ANALYSIS

Network analysis has its roots in sociometry, developed by Jacob L. Moreno in the 1930s. Sociometry was closely associated with small group research and a focus on interpersonal choices within affiliation networks. While some use the term "sociometry" to refer to all research using quantitative scales, the term "sociography" is sometimes used to refer to a method of presenting data about complex individual relationships and networks in graph form. In addition to its social scientific purposes, discussed below, sociometric assessment of interpersonal choices has also played a role in therapy by helping facilitate constructive change in individuals and groups through greater interpersonal awareness. For this reasons, in some circles the term sociometry refers to a form of therapy related to psychodrama.

In modern usage, the term network analysis has largely supplanted the earlier term sociometry, though both involve analysis of social networks by statistical and graphical methods. Today, network analysis usually refers to quantitative analysis of relationships among network nodes (actors or objects) based on mathematical graph theory. The main purposes of this quantitative approach are (1) description and comparison of networks based on various coefficients such as those regarding the centrality or non-centrality of nodes; and (2) visualization of the connectedness of nodes in graphical form. UCINET is perhaps the current leading software package for network analysis of this type.

Network analysis may be applied to affiliation networks such as those connecting Facebook friends, flow networks such as commercial trading relationships, reference networks such as scholarly citation patterns, linkage networks such as webpage links, grids such as power grids, and many other network types.

TABLE OF CONTENTS

Table of Contents
Overview4
Key Concepts and Terms4
Sociometric tests4
Sociometric representation5
Network data diagrams6
Network graphs7
Network data matrix formats7
Network Analysis with UCINET11
Overview11
Data input12
Network visualization15
Statistical analysis16
Centrality measures24
Statistical analysis27
Assumptions28
Measurement inerrancy28
Correlated data28
Group size29
Model specification29
Ecological fallacy29
Frequently Asked Questions29
Where can I find out more about network analysis?29
What computer programs exist to generate sociograms or similar representations?30
What is role analysis in sociometry?31
Bibliography31
Pagecount: 35

Length: 41 pages

Enhanced Typesetting: Enabled

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Product details

File Size: 1192 KB
Print Length: 41 pages
Publisher: Statistical Associates Publishers; 2012 edition (November 6, 2012)
Publication Date: November 6, 2012
Sold by: Amazon Digital Services LLC
Language: English
ASIN: B00A2ZMBVO
Text-to-Speech: Enabled

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Lending: Enabled
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Amazon Best Sellers Rank: #1,434,993 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
- #166 in Kindle Store > Kindle eBooks > Education & Teaching > Teacher Resources > Education Theory > Statistics
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- #1923 in Kindle Store > Kindle Short Reads > One hour (33-43 pages) > Education & Reference

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A short, readable introduction to the subject.

ByDaleOon March 29, 2016

Format: Kindle EditionVerified Purchase

It was a fairly short book, and not at a very high mathematical level, in terms of network or graph theory. But it seemed like a readable introduction to a lot of the underlying concepts, as well as some of the standard software. Probably a nice starter text for social science researchers. Mind you, I don't claim any great expertise in the subject, though I have read a number of related books. The price is reasonable too, as is the case with most of these Blue Book series books.

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