Next Article in Journal
Reliability of Inference of Directed Climate Networks Using Conditional Mutual Information
Previous Article in Journal
Bias Adjustment for a Nonparametric Entropy Estimator
Entropy 2013, 15(6), 2012-2022; doi:10.3390/e15062012
Article

The Dynamics of Concepts in a Homogeneous Community

1,*  and 2
1 Department of Industrial Engineering, Tel-Aviv University, Ramat Aviv 69978, Israel 2 Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot 76100, Israel
* Author to whom correspondence should be addressed.
Received: 1 April 2013 / Revised: 13 May 2013 / Accepted: 21 May 2013 / Published: 23 May 2013
View Full-Text   |   Download PDF [289 KB, uploaded 24 February 2015]   |   Browse Figures
SciFeed

Abstract

The paper addresses informational interactions in a community and considers the dynamics of concepts that represent distribution of knowledge among the individuals. The evolution of a set of concepts maintained by a community is derived by the use of the concepts’ significance in the communication between “cognoscenti” and “dilettanti” and of birth-death processes. The dynamics of concepts depend on the allocation of communication resources and can be governed by an informational principle that requires minimum self-information of the set of concepts over a time horizon. With respect to that principle, the introduction of a new concept into a community’s disposal is shown to lead to a steady-state self-information, which is smaller than that before the introduction of the new concept.
Keywords: social networks; communities; information diffusion; concepts’ dynamics social networks; communities; information diffusion; concepts’ dynamics
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

Share & Cite This Article

Further Mendeley | CiteULike
Export to BibTeX |
EndNote |
RIS
MDPI and ACS Style

Khmelnitsky, E.; Kagan, E. The Dynamics of Concepts in a Homogeneous Community. Entropy 2013, 15, 2012-2022.

View more citation formats

Related Articles

Article Metrics

For more information on the journal, click here

Comments

[Return to top]
Entropy EISSN 1099-4300 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert