Home > E-book list >Network Analysis

                                       
Reference:
Garson, G. D. (2012). Network Analysis. Asheboro, NC: Statistical Associates Publishers.
 

Instant availablity without passwords in Kindle format on Amazon: click here
Tutorial on the free Kindle for PC Reader app: click here.
Obtain the free Kindle Reader app for any device: click here.
 
Delayed availability with passwords in free pdf format: right-click here and save file.
Register to obtain a password: click here.
 
Statistical Associates Publishers home page.
 
About the author
 
Overview
 
Table of Contents
 
ASIN number (e-book counterpart to ISBN): B00A2ZMBVO.
 
@c 2012 by G. David Garson and Statistical Associates Publishers. worldwide rights reserved in all languages and on all media. Permission is not granted to copy, distribute, or post e-books or passwords.
 


NETWORK ANALYSIS

Overview

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.

The full content is now available from Statistical Associates Publishers. Click here.

Below is the unformatted table of contents.

NETWORK ANALYSIS
Table of Contents
Overview	4
Key Concepts and Terms	4
Sociometric tests	4
Sociometric representation	5
Network data diagrams	6
Network graphs	7
Network data matrix formats	7
Network Analysis with UCINET	11
Overview	11
Data input	12
Network visualization	15
Statistical analysis	16
Centrality measures	24
Statistical analysis	27
Assumptions	28
Measurement inerrancy	28
Correlated data	28
Group size	29
Model specification	29
Ecological fallacy	29
Frequently Asked Questions	29
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
Bibliography	31
Pagecount: 35