Complexity in human online communication: analysis and modeling of sending patterns in email and Twitter

Authors

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

Abstract

We studied and modeled human online communication using Twitter and email datasets. We found that the interevent time distribution of sent messages have four regimes. Two of the regimes obey a power-law scaling behavior, while the other two regimes are associated with human circadian rhythm and message composition time constraints.

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Issue

2012: Proceedings of the 30th Samahang Pisika ng Pilipinas Physics Congress

Exploring physics research in the health sciences
22-24 October 2012, De La Salle Health Sciences Institute, Dasmariñas City

Article ID

SPP2012-PA-9

Section

Poster Session PA

Published

2012-10-22

How to Cite

[1]

A Solatorio and M Lim, Complexity in human online communication: analysis and modeling of sending patterns in email and Twitter, Proceedings of the Samahang Pisika ng Pilipinas 30, SPP2012-PA-9 (2012). URL: https://proceedings.spp-online.org/article/view/SPP2012-PA-9.