A Quantitative Analysis of Human Calling Behavior During Medical Emergency Calls

DOI

10.2991/mmebc-16.2016.320How to use a DOI?

Keywords

Medical Emergency Call, Communication Pattern, Power-law Distribution, Entropy

Abstract

Human behavior is often affected by sudden emergency directly or indirectly. In this paper, we focus on two groups of people under different types of medical emergency calls. Based on the quantitative analysis of calling volume and call interval distribution before and after the emergency call, we find that during most types of emergencies, calling volume will increase after the emergency call made and maintain a high level in the next several hours. Medical emergency makes influence on call volumes, but not affects power-law distribution in human communication behavior. From studying entropy of call detail records, we found that during the medical emergency, the richness of outgoing call numbers increases and falls after that. In this paper, we do quantitative analysis of temporal patterns of medical emergency call based on the combination of medical emergency call data and call detail record data, which not only study on the characteristics of human communication behavior in emergency situations, but also provide data basis for scientific rational allocation of aid resources and effective emergency measures.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Xiangyu Li
AU  - Wenjun Wang
AU  - Ning Yuan
PY  - 2016/06
DA  - 2016/06
TI  - A Quantitative Analysis of Human Calling Behavior During Medical Emergency Calls
BT  - Proceedings of the 2016 6th International Conference on Machinery, Materials, Environment, Biotechnology and Computer
PB  - Atlantis Press
SP  - 1573
EP  - 1577
SN  - 2352-5401
UR  - https://doi.org/10.2991/mmebc-16.2016.320
DO  - 10.2991/mmebc-16.2016.320
ID  - Li2016/06
ER  -