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Behavioral profiles for advanced email features

Published: 20 April 2009 Publication History

Abstract

We examine the behavioral patterns of email usage in a large-scale enterprise over a three-month period. In particular, we focus on two main questions: (Q1) what do replies depend on? and (Q2) what is the gain of augmenting contacts through the friends of friends from the email social graph? For Q1, we identify and evaluate the significance of several factors that affect the reply probability and the email response time. We find that all factors of our considered set are significant, provide their relative ordering, and identify the recipient list size, and the intensity of email communication between the correspondents as the dominant factors. We highlight various novel threshold behaviors and provide support for existing hypotheses such as that of the least-effort reply. For Q2, we find that the number of new contacts extracted from the friends-of-friends relationships amounts to a large number, but which is still a limited portion of the total enterprise size. We believe that our results provide significant insights towards informed design of advanced email features, including those of social-networking type.

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    cover image ACM Conferences
    WWW '09: Proceedings of the 18th international conference on World wide web
    April 2009
    1280 pages
    ISBN:9781605584874
    DOI:10.1145/1526709

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    Association for Computing Machinery

    New York, NY, United States

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    Published: 20 April 2009

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    Author Tags

    1. email profiles
    2. reply probability
    3. reply time

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    • (2020)Prioritizing unread e-mails: people send urgent responses before important or short onesHuman–Computer Interaction10.1080/07370024.2020.1835481(1-24)Online publication date: 23-Nov-2020
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    • (2017)A System for Email Recipient PredictionFrom Social Data Mining and Analysis to Prediction and Community Detection10.1007/978-3-319-51367-6_2(31-59)Online publication date: 22-Mar-2017
    • (2016)Time-Chunking and Hyper-Refocusing in a Digitally-Enabled Workplace: Six Forms of Knowledge WorkersFrontiers in Psychology10.3389/fpsyg.2016.016277Online publication date: 24-Oct-2016
    • (2016)Using Online Controlled Experiments to Examine Authority Effects on User Behavior in Email CampaignsProceedings of the 27th ACM Conference on Hypertext and Social Media10.1145/2914586.2914619(255-260)Online publication date: 10-Jul-2016
    • (2016)Mining and Modeling the Information Propagation in an Email Communication NetworkRevised Selected Papers of the Second International Conference on Human Centered Computing - Volume 956710.1007/978-3-319-31854-7_46(510-522)Online publication date: 7-Jan-2016
    • (2014)Modeling the information propagation in an email communication network using an agent-based approachProceedings of the Companion Publication of the 2014 Annual Conference on Genetic and Evolutionary Computation10.1145/2598394.2610013(1007-1014)Online publication date: 12-Jul-2014
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    • (2014)Email miningKnowledge and Information Systems10.1007/s10115-013-0658-241:1(1-31)Online publication date: 1-Oct-2014
    • (2014)How Do People Communicate through Different Social Connections?Web-Age Information Management10.1007/978-3-319-08010-9_79(728-739)Online publication date: 2014
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