Skip to main content Accessibility help
×
Hostname: page-component-77c89778f8-cnmwb Total loading time: 0 Render date: 2024-07-24T19:17:05.092Z Has data issue: false hasContentIssue false

5 - Positive and Negative Relationships

from Part I - Graph Theory and Social Networks

Published online by Cambridge University Press:  05 June 2012

David Easley
Affiliation:
Cornell University, New York
Jon Kleinberg
Affiliation:
Cornell University, New York
Get access

Summary

In our discussion of networks thus far, we have generally viewed the relationships contained in these networks as having positive connotations – links have typically indicated such things as friendship, collaboration, sharing of information, or membership in a group. The terminology of online social networks reflects a largely similar view, through its emphasis on the connections one forms with friends, fans, followers, and so forth. But in most network settings, there are also negative effects at work. Some relations are friendly, but others are antagonistic or hostile; interactions between people or groups are regularly beset by controversy, disagreement, and sometimes outright conflict. How should we reason about the mix of positive and negative relationships that take place within a network?

Here we describe a rich part of social network theory that involves taking a network and annotating its links (i.e., its edges) with positive and negative signs. Positive links represent friendship while negative links represent antagonism, and an important problem in the study of social networks is to understand the tension between these two forces. The notion of structural balance that we discuss in this chapter is one of the basic frameworks for doing this.

In addition to introducing some of the basics of structural balance, our discussion in this chapter serves a second, methodological purpose: it illustrates a nice connection between local and global network properties. A recurring issue in the analysis of networked systems is the way in which local effects – phenomena involving only a few nodes at a time – can have global consequences that are observable at the level of the network as a whole.

Type
Chapter
Information
Networks, Crowds, and Markets
Reasoning about a Highly Connected World
, pp. 107 - 136
Publisher: Cambridge University Press
Print publication year: 2010

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Save book to Kindle

To save this book to your Kindle, first ensure coreplatform@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

Available formats
×