A knowledge collaboration network model across disciplines

Anna Nagurney; Qiang Qiang

doi:10.1007/978-3-642-12079-4_19

A knowledge collaboration network model across disciplines

Anna Nagurney, Qiang Qiang

Management Division (Great Valley)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

4 Scopus citations

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 language	English (US)
Title of host publication	Advances in Social Computing - Third International Conference on Social Computing, Behavioral Modeling, and Prediction, SBP 2010, Proceedings
Pages	138-148
Number of pages	11
DOIs	https://doi.org/10.1007/978-3-642-12079-4_19
State	Published - Dec 24 2010
Event	3rd International Conference on Social Computing, Behavioral Modeling, and Prediction, SBP 2010 - Bethesda, MD, United States Duration: Mar 30 2010 → Mar 31 2010

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	6007 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	3rd International Conference on Social Computing, Behavioral Modeling, and Prediction, SBP 2010
Country/Territory	United States
City	Bethesda, MD
Period	3/30/10 → 3/31/10

All Science Journal Classification (ASJC) codes

Theoretical Computer Science
Computer Science(all)

Access to Document

10.1007/978-3-642-12079-4_19

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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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.",

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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 proceeding › Conference contribution

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N2 - 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.

AB - 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.

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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)). doi: 10.1007/978-3-642-12079-4_19

A knowledge collaboration network model across disciplines

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