Proceedings of the 2nd International Conference on Software Engineering, Knowledge Engineering and Information Engineering (SEKEIE 2014)

Knowledge Diffusion on Community Network —the Angle of Absorptive Ability and Diffused Ability

Authors
Qingjun Li, Fanping Kong, Yongfei Jia, Quanmin Bai
Corresponding Author
Qingjun Li
Available Online March 2014.
DOI
10.2991/sekeie-14.2014.24How to use a DOI?
Keywords
Knowledge Diffusion; Community Network; Absorptive Ability; Diffused Ability
Abstract

This article summarized the performance of knowledge diffusion on community network by looking level of final knowledge as an evaluation index of the whole knowledge network based on agent’s absorptive ability and diffused ability. We construct a knowledge diffusion model and simulate the process of knowledge diffusion, theoretic analyses and simulation results indicate that the average knowledge level increases as the enhance of absorptive ability when keeping community connections constant. The experimental outcomes told us low diffused ability will depress the final research level.

Copyright
© 2014, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2nd International Conference on Software Engineering, Knowledge Engineering and Information Engineering (SEKEIE 2014)
Series
Advances in Intelligent Systems Research
Publication Date
March 2014
ISBN
978-94-62520-25-7
ISSN
1951-6851
DOI
10.2991/sekeie-14.2014.24How to use a DOI?
Copyright
© 2014, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Qingjun Li
AU  - Fanping Kong
AU  - Yongfei Jia
AU  - Quanmin Bai
PY  - 2014/03
DA  - 2014/03
TI  - Knowledge Diffusion on Community Network —the Angle of Absorptive Ability and Diffused Ability
BT  - Proceedings of the 2nd International Conference on Software Engineering, Knowledge Engineering and Information Engineering (SEKEIE 2014)
PB  - Atlantis Press
SP  - 102
EP  - 105
SN  - 1951-6851
UR  - https://doi.org/10.2991/sekeie-14.2014.24
DO  - 10.2991/sekeie-14.2014.24
ID  - Li2014/03
ER  -