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Inter-event time interval analysis of organizational-level activity: Venture capital market case

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  • Zhang, Xin
  • Xie, Sheng
  • Vilela, André L.M.
  • Stanley, H. Eugene

Abstract

Examining the venture capital market as a representative case, we made the first empirical study about timing and rhythm in organizational behavior. We analyze inter-event time intervals and find that the fat-tailed property of organizational behavior is similar that found in individual behavior, but that its lower scaling exponent indicates it is more heterogeneous than individual behavior. We quantify the observable burst and memory effect in organizational behavior. The burst effect occurs when organizations make frequent business deals during a short time period. This is a potential factor affecting economic cycles and market turbulence. The memory effect occurs when future organizational behavior correlates with past behavior, which potentially allows the prediction of future behavior. We find fewer bursts and a stronger memory effect in organizational behavior than in individual behavior. This difference may be related to resource constraint, business routine, and market competition. These findings shed light on the changeable features of organizational behavior and economic system. We drew a necessity to extend study on human dynamics to organization dynamics by exploring real organizational data in a wide range and proposing a mechanism to better modeling organizational behaviors. Understanding the temporal characteristics of organizational behavior is essential to understanding economic complexities.

Suggested Citation

  • Zhang, Xin & Xie, Sheng & Vilela, André L.M. & Stanley, H. Eugene, 2019. "Inter-event time interval analysis of organizational-level activity: Venture capital market case," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 516(C), pages 346-355.
  • Handle: RePEc:eee:phsmap:v:516:y:2019:i:c:p:346-355
    DOI: 10.1016/j.physa.2018.09.050
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    References listed on IDEAS

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    1. Hyewon Kim & Meesoon Ha & Hawoong Jeong, 2015. "Scaling properties in time-varying networks with memory," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 88(12), pages 1-8, December.
    2. Elinor Ostrom, 2010. "Beyond Markets and States: Polycentric Governance of Complex Economic Systems," American Economic Review, American Economic Association, vol. 100(3), pages 641-672, June.
    3. Sun, Zhi & Peng, Qinke & Lv, Jia & Zhong, Tao, 2017. "Analyzing the posting behaviors in news forums with incremental inter-event time," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 479(C), pages 203-212.
    4. Yang, Zimo & Cui, Ai-Xiang & Zhou, Tao, 2011. "Impact of heterogeneous human activities on epidemic spreading," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(23), pages 4543-4548.
    5. Mryglod, O. & Fuchs, B. & Szell, M. & Holovatch, Yu. & Thurner, S., 2015. "Interevent time distributions of human multi-level activity in a virtual world," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 419(C), pages 681-690.
    6. Zhang, Jianhua & Chen, Qinghua & Wang, Yougui, 2009. "Zipf distribution in top Chinese firms and an economic explanation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(10), pages 2020-2024.
    7. Kwon, Okyu & Son, Woo-Sik & Jung, Woo-Sung, 2016. "The double power law in human collaboration behavior: The case of Wikipedia," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 461(C), pages 85-91.
    8. Christian Quadri & Matteo Zignani & Lorenzo Capra & Sabrina Gaito & Gian Paolo Rossi, 2014. "Multidimensional Human Dynamics in Mobile Phone Communications," PLOS ONE, Public Library of Science, vol. 9(7), pages 1-12, July.
    9. Ruijin Du & Gaogao Dong & Lixin Tian & Minggang Wang & Guochang Fang & Shuai Shao, 2016. "Spatiotemporal Dynamics and Fitness Analysis of Global Oil Market: Based on Complex Network," PLOS ONE, Public Library of Science, vol. 11(10), pages 1-17, October.
    10. Du, Ruijin & Wang, Ya & Dong, Gaogao & Tian, Lixin & Liu, Yixiao & Wang, Minggang & Fang, Guochang, 2017. "A complex network perspective on interrelations and evolution features of international oil trade, 2002–2013," Applied Energy, Elsevier, vol. 196(C), pages 142-151.
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