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A Conditional Probability Analysis of Pattern-Based Models Applied to Event Data in the Israeli-Palestinian Conflict
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A Conditional Probability Analysis of Pattern-Based Models Applied to
Event Data in the Israeli-Palestinian Conflict
by
Philip A. Schrodt, University of Kansas
Valerie M. Hudson, Brigham Young University
Version 1.0
27 August 2006
Paper prepared for delivery at the Annual Meeting of the American Political Science Association,Philadelphia, 31 August-3 September 2006.
Authors can be contacted via email at the following addresses:
## email not listed ##
and
## email not listed ##
.
This research was supported in part by grants from the U.S. National Science Foundation (SES-0455158),and the Brigham Young University College of Family, Home, and Social Sciences.
A link to the analytical web site for this project, which includes the graphic tools for analyzing eventpatterns can be found at the NKSS project web site http://www.nkss.org. The data setdiscussed in this paper, as well as a pdf version of the paper with color graphics, can be downloadedfrom the KEDS project web site: http://www.ku.edu/~keds/.
© 2006 by the authors
Abstract
Existing formal models of political behavior have followed the lead of the natural sciences andgenerally focused on methods that use continuous-variable mathematics. Stephen Wolfram hasrecently produced an extended critique of that approach in the natural sciences, and suggested that agreat deal of natural behavior can be accounted for using rules that involve discrete patterns. Overthe past three years we have developed software to display the presence of patterns in event data.This paper extends our earlier work, which focused on the presence of specific patterns over time, tolook at the stochastic characteristics of these pattern. We are specifically interested in therelationship between patterns as reflected in their conditional probabilities: does the probability of apattern increase or decrease the probability of other patterns? Using data from the Israeli-Palestinian conflict for the period April 1979 to October 2005, and using some of the commonpatterns that we identified in our earlier research, we find that these conditional relationship do hold,and are almost always positive. As we expected, and consistent with our earlier studies, the strengthof the relationships varies over time and these variations are usually strongly correlated with thebroader qualitative characteristics of the conflict, for example major conflict phases such as the firstand second intifadas and the Oslo negotiation process.
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| | Authors: Schrodt, Philip. and Hudson, Valerie. |
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A Conditional Probability Analysis of Pattern-Based Models Applied to
Event Data in the Israeli-Palestinian Conflict
by
Philip A. Schrodt, University of Kansas
Valerie M. Hudson, Brigham Young University
Version 1.0
27 August 2006
Paper prepared for delivery at the Annual Meeting of the American Political Science Association, Philadelphia, 31 August-3 September 2006.
Authors can be contacted via email at the following addresses:
## email not listed ##
and
## email not listed ##
.
This research was supported in part by grants from the U.S. National Science Foundation (SES- 0455158),and the Brigham Young University College of Family, Home, and Social Sciences.
A link to the analytical web site for this project, which includes the graphic tools for analyzing event patterns can be found at the NKSS project web site http://www.nkss.org. The data set discussed in this paper, as well as a pdf version of the paper with color graphics, can be downloaded from the KEDS project web site: http://www.ku.edu/~keds/.
© 2006 by the authors
Abstract
Existing formal models of political behavior have followed the lead of the natural sciences and generally focused on methods that use continuous-variable mathematics. Stephen Wolfram has recently produced an extended critique of that approach in the natural sciences, and suggested that a great deal of natural behavior can be accounted for using rules that involve discrete patterns. Over the past three years we have developed software to display the presence of patterns in event data. This paper extends our earlier work, which focused on the presence of specific patterns over time, to look at the stochastic characteristics of these pattern. We are specifically interested in the relationship between patterns as reflected in their conditional probabilities: does the probability of a pattern increase or decrease the probability of other patterns? Using data from the Israeli- Palestinian conflict for the period April 1979 to October 2005, and using some of the common patterns that we identified in our earlier research, we find that these conditional relationship do hold, and are almost always positive. As we expected, and consistent with our earlier studies, the strength of the relationships varies over time and these variations are usually strongly correlated with the broader qualitative characteristics of the conflict, for example major conflict phases such as the first and second intifadas and the Oslo negotiation process.
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