Dunne, Jonathan and Malone, David (2017) Different every time: A framework to model real-time instant message conversations. In: Proceedings of the 21st Conference of Open Innovations Association FRUCT. FRUCT, Oy, Finland, pp. 88-99. ISBN 978-952-68653-2-4

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Abstract

As startups and micro teams adopt real-time collaborative instant messaging solutions, a wealth of data is generated from day to day usage. Making sense of this data can be a challenge to teams, given the lack of inbuilt analytical tooling. In this study we model the distributions of duration, inter-arrival time, word count and user count of real-time electronic chat conversations in a framework, where these distributions can be used as an analogue to service time estimation of problem determination. Using both an enterprise and an open-source dataset, we answer the question of what distribution family and fitting techniques can be used to adequately model real-time chat conversations. Our framework can help startups and micro teams alike to effectively model their real-time chat conversations to allow high value decisions to be made based on their collaboration outputs.

Item Type:	Book Section
Additional Information:	This paper was presened at the 21st Conference of Open Innovations Association FRUCT held on November 6-10, 2017 in Helsinki, Finland
Keywords:	Kernel; Real-time systems; Data models; Collaboration; Estimation; Bandwidth; Internet; electronic messaging; groupware; Internet; public domain software; real-time systems; real-time chat conversations; real-time collaborative instant messaging solutions; real-time electronic chat conversations; open-source dataset;
Academic Unit:	Faculty of Science and Engineering > Mathematics and Statistics Faculty of Science and Engineering > Research Institutes > Hamilton Institute
Item ID:	12004
Identification Number:	https://doi.org/10.23919/FRUCT.2017.8250169
Depositing User:	Dr. David Malone
Date Deposited:	05 Dec 2019 15:46
Publisher:	FRUCT
Refereed:	Yes
URI:	Publisher Organisation
Use Licence:	This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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