A knowledge collaboration network model across disciplines

Anna Nagurney, Qiang Qiang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

We propose a theoretical framework for the optimal collaboration among researchers in a knowledge network in which researchers are not limited to a single discipline and in which multiple modes of communication, including communication via the Internet, are available. We introduce a novel concept of distance to measure not only the communication distance but also the distance between disciplines. We formulate the knowledge network collaboration model as a variational inequality problem whose solution yields the optimal allocation of effort/time of the researchers as well as the associated opportunity costs.

Original languageEnglish (US)
Title of host publicationAdvances in Social Computing - Third International Conference on Social Computing, Behavioral Modeling, and Prediction, SBP 2010, Proceedings
Pages138-148
Number of pages11
DOIs
StatePublished - Dec 24 2010
Event3rd International Conference on Social Computing, Behavioral Modeling, and Prediction, SBP 2010 - Bethesda, MD, United States
Duration: Mar 30 2010Mar 31 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6007 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other3rd International Conference on Social Computing, Behavioral Modeling, and Prediction, SBP 2010
CountryUnited States
CityBethesda, MD
Period3/30/103/31/10

Fingerprint

Network Model
Communication
Variational Inequality Problem
Optimal Allocation
Internet
Costs
Knowledge
Collaboration
Model
Framework
Concepts

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Nagurney, A., & Qiang, Q. (2010). A knowledge collaboration network model across disciplines. In Advances in Social Computing - Third International Conference on Social Computing, Behavioral Modeling, and Prediction, SBP 2010, Proceedings (pp. 138-148). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6007 LNCS). https://doi.org/10.1007/978-3-642-12079-4_19
Nagurney, Anna ; Qiang, Qiang. / A knowledge collaboration network model across disciplines. Advances in Social Computing - Third International Conference on Social Computing, Behavioral Modeling, and Prediction, SBP 2010, Proceedings. 2010. pp. 138-148 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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Nagurney, A & Qiang, Q 2010, A knowledge collaboration network model across disciplines. in Advances in Social Computing - Third International Conference on Social Computing, Behavioral Modeling, and Prediction, SBP 2010, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 6007 LNCS, pp. 138-148, 3rd International Conference on Social Computing, Behavioral Modeling, and Prediction, SBP 2010, Bethesda, MD, United States, 3/30/10. https://doi.org/10.1007/978-3-642-12079-4_19

A knowledge collaboration network model across disciplines. / Nagurney, Anna; Qiang, Qiang.

Advances in Social Computing - Third International Conference on Social Computing, Behavioral Modeling, and Prediction, SBP 2010, Proceedings. 2010. p. 138-148 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6007 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Nagurney A, Qiang Q. A knowledge collaboration network model across disciplines. In Advances in Social Computing - Third International Conference on Social Computing, Behavioral Modeling, and Prediction, SBP 2010, Proceedings. 2010. p. 138-148. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-642-12079-4_19