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A Mixed Graph Framework to evaluate the complementarity of communication Tools

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1 Departament of Production Engineering, CEFET/RJ, Rio de Janeiro, Brazil
2 Departament of Computer Science, CEFET/RJ, Rio de Janeiro, Brazil
3 Departament of Computer Science, LNCC, Petrópolis, Brazil
DOI
10.7287/peerj.preprints.3114v1
Published
Accepted
Subject Areas
Network Science and Online Social Networks, Social Computing
Keywords
framework, social network analysis, communication tools, graphs
Copyright
© 2017 Carvalho et al.
Licence
This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Preprints) and either DOI or URL of the article must be cited.
Cite this article
Carvalho L, Bezerra E, Guedes G, Assis L, Lima L, Barbastefano R, Ziviani A, Porto F, Ogasawara E. 2017. A Mixed Graph Framework to evaluate the complementarity of communication Tools. PeerJ Preprints 5:e3114v1

Abstract

Due to the constant innovations in communications tools, several organizations are constantly evaluating the adoption of new communication tools (NCT) with respect to current ones. Especially, many organizations are interested in checking if NCT is really bringing benefits in their production process. We can state an important problem that tackles this interest as for how to identify when NCT is providing a significantly different complementary communication flow with respect to the current communication tools (CCT). This paper presents the Mixed Graph Framework (MGF) to address the problem of measuring the complementarity of a NCT in the scenario where some CCT is already established. We evaluated MGF using synthetic data that represents an enterprise social network (ESN) in the context of well-established e-mail communication tool. Our experiments observed that the MGF was able to identify whether a NCT produces significant changes in the overall communications according to some centrality measures.

Author Comment

This is a submission to PeerJ Computer Science for review.

Additional Information

Competing Interests

The authors declare that they have no competing interests.

Author Contributions

Leonardo Carvalho conceived and designed the experiments, performed the experiments, analyzed the data, contributed reagents/materials/analysis tools, wrote the paper, prepared figures and/or tables, performed the computation work, reviewed drafts of the paper.

Eduardo Bezerra conceived and designed the experiments, performed the experiments, analyzed the data, contributed reagents/materials/analysis tools, wrote the paper, prepared figures and/or tables, performed the computation work, reviewed drafts of the paper.

Gustavo Guedes conceived and designed the experiments, performed the experiments, analyzed the data, contributed reagents/materials/analysis tools, wrote the paper, prepared figures and/or tables, performed the computation work, reviewed drafts of the paper.

Laura Assis conceived and designed the experiments, performed the experiments, analyzed the data, contributed reagents/materials/analysis tools, wrote the paper, prepared figures and/or tables, performed the computation work, reviewed drafts of the paper.

Leonardo Lima conceived and designed the experiments, performed the experiments, analyzed the data, contributed reagents/materials/analysis tools, wrote the paper, prepared figures and/or tables, performed the computation work, reviewed drafts of the paper.

Rafael Barbastefano conceived and designed the experiments, performed the experiments, analyzed the data, contributed reagents/materials/analysis tools, wrote the paper, prepared figures and/or tables, performed the computation work, reviewed drafts of the paper.

Artur Ziviani conceived and designed the experiments, performed the experiments, analyzed the data, contributed reagents/materials/analysis tools, wrote the paper, prepared figures and/or tables, performed the computation work, reviewed drafts of the paper.

Fabio Porto conceived and designed the experiments, performed the experiments, analyzed the data, contributed reagents/materials/analysis tools, wrote the paper, prepared figures and/or tables, performed the computation work, reviewed drafts of the paper.

Eduardo Ogasawara conceived and designed the experiments, performed the experiments, analyzed the data, contributed reagents/materials/analysis tools, wrote the paper, prepared figures and/or tables, performed the computation work, reviewed drafts of the paper.

Data Deposition

The following information was supplied regarding data availability:

https://github.com/eogasawara/mgf

Funding

This work was partially funded by CNPq, CAPES, and FAPERJ. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

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