Social Capital

Social Capital

An Introduction to Managing Networks

Kenneth W. Koput

This volume teaches how to understand and manage social capital to facilitate individual and organizational learning and goal attainment. Coverage includes both orchestrating relationships of others and navigating one’s own social interactions. Written at an introductory level and accessible to those without background in network analysis or graph theory, this text combines both comprehensive analysis and concrete concepts to emphasize how critical a role social capital’s applications play on the foundations of business as we know it today.

Chapter 9: Analyzing Positions

Kenneth W. Koput

Subjects: business and management, human resource management


9.1 Centrality Centrality, in general, is a property of points in a graph. Related to social capital, centrality can be used to measure the potential for access and control over information and resources. There are two conceptualizations of centrality of a point related to access: local and global. The measure of centrality related to control is often considered intermediate. A point is locally central if it has a large number of connections with the other points if it has a large neighborhood of direct contacts. A point is globally central if it has a position of strategic significance in the overall structure of the network – if it can reach other points on short paths. Local centrality is concerned with the relative activity of a focal point (called ego) in its neighborhood (of alters), while global centrality concerns reach within the whole network. 9.1.1 Degree The simplest and most straightforward measure of local centrality is called the degree of a point. The degree is simply the number of points to which a point is adjacent. A point is locally central if it has a high degree. For an undirected graph, the degree of a point is just the number of lines that are attached to the point. Working from the adjacency matrix, you can obtain this by summing across the row for the point. For directed graphs, we can distinguish between the number of lines with arrows coming in to the point (the InDegree, also the column sum of the adjacency...

You are not authenticated to view the full text of this chapter or article.

Elgaronline requires a subscription or purchase to access the full text of books or journals. Please login through your library system or with your personal username and password on the homepage.

Non-subscribers can freely search the site, view abstracts/ extracts and download selected front matter and introductory chapters for personal use.

Your library may not have purchased all subject areas. If you are authenticated and think you should have access to this title, please contact your librarian.

Further information