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Lucas Seipp-Williams

Biographic Data

ID2476121
NAMELucas Seipp-Williams
GIVEN NAMESLucas
FAMILY NAMESeipp-Williams
SIGNATURESEIPP-WILLIAMS L
VERIFIEDNo
TOTAL WORKS1
TOTAL CITATIONS5
AUTHOR COUNT1
EDITOR COUNT0
FIRST PUBLICATION YEAR2005
LATEST PUBLICATION YEAR2005
H-INDEX1
  • Sociotemporal Rhythms in E-mail: A case study

    Open Access•M G Flaherty, Lucas Seipp-Williams•ARTICLE•Time & Society•2005•Cited by: 5•References: 14

    This study examines sociotemporal rhythms in the volume of e-mail. E-mail is available 24 hours a day, seven days a week, but we hypothesize that there are non-random patterns in the temporal flow of e-mail. We counted the total number of e-mail messages received per hour by any address at our college for more than eight months. Non-random patterns emerged in our data. The volume of e-mail per hour is above average during traditional working hour…

  • Sociotemporal Rhythms in E-mail: A case study

    Open Access•M G Flaherty, Lucas Seipp-Williams•ARTICLE•Time & Society•2005•Cited by: 5•References: 14

    This study examines sociotemporal rhythms in the volume of e-mail. E-mail is available 24 hours a day, seven days a week, but we hypothesize that there are non-random patterns in the temporal flow of e-mail. We counted the total number of e-mail messages received per hour by any address at our college for more than eight months. Non-random patterns emerged in our data. The volume of e-mail per hour is above average during traditional working hour…

  • Sociotemporal Rhythms in E-mail: A case study

    Open Access•M G Flaherty, Lucas Seipp-Williams•ARTICLE•Time & Society•2005•Cited by: 5•References: 14

    This study examines sociotemporal rhythms in the volume of e-mail. E-mail is available 24 hours a day, seven days a week, but we hypothesize that there are non-random patterns in the temporal flow of e-mail. We counted the total number of e-mail messages received per hour by any address at our college for more than eight months. Non-random patterns emerged in our data. The volume of e-mail per hour is above average during traditional working hour…

Animal science (1 works) · Biology (1 works) · Demography (1 works) · Demography (1 works) · Evacuation and Crowd Dynamics (1 works) · Evening (1 works) · Human Mobility and Location-Based Analysis (1 works) · Internal Medicine (1 works) · Medicine (1 works) · Morning (1 works)

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