A Statistical Study of Information Patterns on the Web.
Public Deposited- Last Modified
- February 28, 2019
- Creator
-
Alaba, Oluseyi F.
- Affiliation: School of Information and Library Science
- Abstract
- This paper develops and tests two theories about the network structure of a sample of archived web documents using four statistical models. Starting from previous theories of small world networks and authority and hub constructs, each model is further developed from the hypothesis that the web is a complex network. A complex system is one where seemingly random units, which are self similar, are not independent, but whose bands of interdependence at a local level create emergent, or system-level patterns that are very different from their local level units. The models were tested using structural equation techniques and cannot be rejected as possible representations of the underlying framework of the web.
- Date of publication
- October 2010
- Subject
- DOI
- Resource type
- Rights statement
- In Copyright
- Advisor
- Losee, Robert
- Degree granting institution
- University of North Carolina at Chapel Hill
- Language
- Extent
- 53
- Deposit record
- abb1808a-3405-4d7b-866b-f35807dc08b2
- Access right
- Open access
- Date uploaded
- March 6, 2013
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