Inter-event analysis and characterization of patterns in email communication

Authors

Aivin V. Solatorio National Institute of Physics, University of the Philippines Diliman
May T. Lim National Institute of Physics, University of the Philippines Diliman

Abstract

The inter-event distribution of sent and received messages of each user in the Enron dataset was analyzed in this paper. Patterns were observed in the inter-event distributions. It was found out that one of the peaks formed, with value of Δt_r and Δt_s equal to 64 hours, can be explained by repetitive weekly human activity. We also characterized the presence of burst in email inter-event for received and sent messages at values of Δt approximately equal to integral multiples of 60 seconds. The bursts at the specified Δt follow a power-law relation y=kΔt^-a. The power-law exponents were a ≈ 0.6 and a ≈ 1 for received and sent messages, respectively.

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Issue

2009: Proceedings of the 27th Samahang Pisika ng Pilipinas Physics Congress

Article ID

SPP-2009-PA-04

Section

Poster Session PA

Published

2009-10-28

How to Cite

[1]

AV Solatorio and MT Lim, Inter-event analysis and characterization of patterns in email communication, Proceedings of the Samahang Pisika ng Pilipinas 27, SPP-2009-PA-04 (2009). URL: https://proceedings.spp-online.org/article/view/SPP-2009-PA-04.