A Mixed Graph Framework to evaluate the complementarity of communication Tools
- 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
- 2017. A Mixed Graph Framework to evaluate the complementarity of communication Tools. PeerJ Preprints 5:e3114v1 https://doi.org/10.7287/peerj.preprints.3114v1
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.