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4 - Relations and Graphs for Network Analysis

Published online by Cambridge University Press:  13 January 2010

Patrick Doreian
Affiliation:
University of Pittsburgh
Vladimir Batagelj
Affiliation:
University of Ljubljana
Anuska Ferligoj
Affiliation:
University of Ljubljana
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Summary

In this chapter we continue our presentation of a series of mathematical concepts that provide a deeper understanding of blockmodeling ideas. Our goal is to lay the foundations for a discussion of both conventional blockmodeling (in Chapter 6) and our generalized approach to partitioning social networks (in Chapters 6–11).

The main topics in this chapter are a more detailed discussion of graphs (Section 4.1), a presentation of some types of binary relations (Section 4.2), and some basic ideas of partitions and equivalence relations (Section 4.3). The first two sections build toward Section 4.3, which considers ideas at the core of blockmodeling. We consider acyclic relations (Section 4.4), a topic used later in this chapter and in Chapter 11. This is followed by materials on orders (Section 4.5) and a short statement about networks (Section 4.6) using materials developed in this chapter. Centrality (Section 4.7) is the last topic considered in this chapter. We do not deal with graph or network centralization, for it is not used in our discussion of blockmodeling.

GRAPHS

Graphs allow us to describe many social network situations very precisely. We provided a preliminary – and intuitive – discussion of graphs in Chapter 1, where we used a variety of examples. In this section, we take a more formal approach to graphs. Binary relations, as noted in Section 3.2, are closely related to graphs and provide our point of departure.

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Publisher: Cambridge University Press
Print publication year: 2004

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