Dataset Information

The developmental dynamics of terrorist organizations.

ABSTRACT: We identify robust statistical patterns in the frequency and severity of violent attacks by terrorist organizations as they grow and age. Using group-level static and dynamic analyses of terrorist events worldwide from 1968-2008 and a simulation model of organizational dynamics, we show that the production of violent events tends to accelerate with increasing size and experience. This coupling of frequency, experience and size arises from a fundamental positive feedback loop in which attacks lead to growth which leads to increased production of new attacks. In contrast, event severity is independent of both size and experience. Thus larger, more experienced organizations are more deadly because they attack more frequently, not because their attacks are more deadly, and large events are equally likely to come from large and small organizations. These results hold across political ideologies and time, suggesting that the frequency and severity of terrorism may be constrained by fundamental processes.

SUBMITTER: Clauset A

PROVIDER: S-EPMC3504060 | biostudies-literature | 2012

REPOSITORIES: biostudies-literature

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The developmental dynamics of terrorist organizations.

Clauset Aaron A Gleditsch Kristian Skrede KS

PloS one 20121121 11

We identify robust statistical patterns in the frequency and severity of violent attacks by terrorist organizations as they grow and age. Using group-level static and dynamic analyses of terrorist events worldwide from 1968-2008 and a simulation model of organizational dynamics, we show that the production of violent events tends to accelerate with increasing size and experience. This coupling of frequency, experience and size arises from a fundamental positive feedback loop in which attacks lea ...[more]

PMID: 23185267

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Dataset Information

The developmental dynamics of terrorist organizations.

Publications

The developmental dynamics of terrorist organizations.

Similar Datasets

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