Inter-event analysis and characterization of patterns in email communication

Authors

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