A Mixed Graph Framework to Evaluate the Complementarity of Communication Tools

Authors: Leonardo Carvalho, Eduardo Bezerra, Gustavo Guedes, Laura Assis, Leonardo Lima, Rafael Barbastefano, Artur Ziviani, Fabio Porto, Eduardo Ogasawara

Federal Center for Technological Education of Rio de Janeiro (CEFET/RJ)

National Laboratory for Scientific Computing (LNCC)

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.

Acknowledgments: The authors thank CNPq, CAPES, and FAPERJ for partially sponsoring this research.

Experimental Evaluation:

The evaluation of the proposed MGF in measuring if a NCT brings complementarity to a CCT for scenarios of Small Medium Enterprises (SME). We used synthetic data to simulate both CCT and NCT usage to explore the MGF under different group configurations and enterprise scales. Both MGF and experimental evaluation is made available at https://github.com/eogasawara/mgf.

Preprint at https://peerj.com/preprints/3114v1/

About Eduardo Ogasawara
I am a Professor of the Computer Science Department of the Federal Center for Technological Education of Rio de Janeiro (CEFET / RJ) since 2010. I hold a PhD in Systems Engineering and Computer Science at COPPE / UFRJ. Between 2000 and 2007 I worked in the Information Technology (IT) field where I acquired extensive experience in workflows and project management. I have solid background in the Databases and my primary interest is Data Science. He currently studies space-time series, parallel and distributed processing, and data preprocessing methods. I am a member of the IEEE, ACM, INNS, and SBC. Throughout my career I have been presenting consistent number of published articles and projects approved by the funding agencies, such as CNPq and FAPERJ. I am also reviewer of several international journals, such as VLDB Journal, IEEE Transactions on Service Computing and The Journal of Systems and Software. Currently, I am heading the Post-Graduate Program in Computer Science (PPCIC) of CEFET / RJ.

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