IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v377y2007i1p291-301.html
   My bibliography  Save this article

Scale invariance in the 2003–2005 Iraq conflict

Author

Listed:
  • Alvarez-Ramirez, Jose
  • Rodriguez, Eduardo
  • Urrea, Rafael

Abstract

The number of reported social systems that apparently display power-law correlations (i.e., scale-free patterns) has increased dramatically in recent years, ranging from city growth and economics to global terrorism. Using the set of violence events in the 2003–2005 Iraq stabilization phase (i.e., from May 1, 2005), existence of scale-free patterns in event fatalities is shown. This property is also present in the tail of distributions of events divided into groups based on the type of used weapon. Lognormal distribution description was also tried, showing the superiority of the power-law function to describe the behavior of heavy tails. Time series for civilian and military fatalities were studied using the so-called detrended fluctuation analysis. Civilian fatalities showed uncorrelated behavior, implying a lack of memory effects on the evolution of daily civilian fatalities. In contrast, military fatalities displayed long-range correlated behavior.

Suggested Citation

  • Alvarez-Ramirez, Jose & Rodriguez, Eduardo & Urrea, Rafael, 2007. "Scale invariance in the 2003–2005 Iraq conflict," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 377(1), pages 291-301.
  • Handle: RePEc:eee:phsmap:v:377:y:2007:i:1:p:291-301
    DOI: 10.1016/j.physa.2006.11.065
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378437106011952
    Download Restriction: Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000

    File URL: https://libkey.io/10.1016/j.physa.2006.11.065?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Chami Figueira, F. & Moura, N.J. & Ribeiro, M.B., 2011. "The Gompertz–Pareto income distribution," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(4), pages 689-698.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:phsmap:v:377:y:2007:i:1:p:291-301. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/physica-a-statistical-mechpplications/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.