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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao https://doi.org/10.1...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
https://doi.org/10.1007/978-98...
Part of book or chapter of book . 2017 . Peer-reviewed
License: Springer TDM
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Solving the Subgraph Isomorphism Problem Using Harmony Search

descriptionPublicationkeyboard_double_arrow_right Part of book or chapter of book , Other literature type 01 Jan 2017Publisher:Springer Singapore
Authors: Hyoguen Bang; Ho-Yeong Yun; Yong-Joon Joe; Byung-Ok Jung; Dong-Myung Shin;

doi: 10.1007/978-981-10-5041-1_27

Solving the Subgraph Isomorphism Problem Using Harmony Search

Abstract

The active usage of open source software contributes many areas. However, there are many problems like ignoring license or intellectual properties infringement which can lead litigation. In this paper, we try to find original open source software by using similarity of source code. Source code similarity analyze resembles plagiarism detection problem, and using program dependence graph can be handled as a subgraph isomorphism problem which is one of NP-complete. In this paper, we apply harmony search, one of a metaheuristic algorithm, to solve the problem efficiently.

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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