The tree of political violence: a GMERT analysis

Bassetti, Thomas; Caruso, Raul; Schneider, Friederich

doi:10.1007/s00181-016-1214-1

Cited by 6 publications

(2 citation statements)

References 24 publications

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“…With respect to terrorism, Basuchoudhary and Bang () found that machine learning, such as classification modeling, can help explain terrorism and provide nuanced explanations of terrorism. Bassetti, Caruso, and Schneider () used regression trees to analyze Islamist terrorist attacks after 2001. Bang et al.…”

Section: Using Classification Analysis To Study Terrorismmentioning

confidence: 99%

Comparing Classification Trees to Discern Patterns of Terrorism*

Saiya

Scime

2019

Social Science Quarterly

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Objective. Though applied widely in the fields of medicine, finance, ecology, psychology, and computer science, machine learning algorithmic-based methods are a relatively novel approach to social scientific analysis that have yet to be extensively applied. Yet as we argue in this article, a specific form of algorithmic analysis known as C4.5 classification trees has much to offer social analysis and, specifically, the study of social and political violence. Method. This article describes four novel classification model comparison techniques for the C4.5 classification method and applies them to the study of terrorism. Results. Our state-level analysis suggests that there is something fundamentally different in the targeting choices of religious and secular terrorists. Conclusion. This analysis highlights the ability of classification trees to heighten our understanding of terrorism and even provide recommendations to policymakers for avoiding future attacks.

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Section: Using Classification Analysis To Study Terrorismmentioning

confidence: 99%

Comparing Classification Trees to Discern Patterns of Terrorism*

Saiya

Scime

2019

Social Science Quarterly

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“…Ιδιαίτερο βάρος πρέπει να δοθεί στο φαινόμενο της Διάχυσης (Contagion) το οποίο με την αύξηση της ταχύτητας της πληροφορίας αποτελεί το πλέον ενδιαφέρον ερευνητικό πεδίο, καθώς και τη μοντελοποίηση και πρόβλεψη έκτακτων γεγονότων μέσω της Θεωρίας Ακραίων Τιμών (EVT). Τέλος, μεγάλο ενδιαφέρον παρουσιάζει η σύνδεση των παραπάνω με το πεδίο του Behavioral Finance και η μελέτη της αντίδρασης της κοινωνίας και κατά επέκταση του ατόμου επενδυτή ή του ατόμου τρομοκράτη (βλέπε: Barberis et al, 2003;Drakos, 2009;Caruso et al, 2013;Kollias and Papadamou, 2014;Health et al, 2014;Jakobsson et al, 2014;Arvanitidis et al, 2016;Enders et al, 2016;Halkos et al, 2017;Bassetti et al, 2018 CV 0,01% -0,02% -0,21% -0,03% -0,06% 0,07% 0,04% 0,06% LOG(GARCH) = -0.435640065824 -0.10256284708*ABS(RESID(-1)/@SQRT(GARCH(-1))) -0.128566297943*RESID(-1)/@SQRT(GARCH(-1)) + 0.95286534034*LOG(GARCH(-1)) LOG(GARCH) = -9.95860903193 + 0.224157438357*ABS(RESID(-1)/@SQRT(GARCH(-1))) -0.0497062307834*RESID(-1)/@SQRT(GARCH(-1)) + 0.0126616590801*LOG(GARCH(-1)) -7.36074366312*D1…”

Section: πολλές εταιρίες συμμετείχαν στα προγράμματα χορηγιών της διεθνούςunclassified

Εξωγενείς Διαταρακτικοί Παράγοντες Και Χρηματοπιστωτικές Αγορές

Σταγιάννης¹

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Η παρούσα μελέτη λοιπόν εστιάζει στις επιπτώσεις απρόβλεπτων γεγονότων σε ανεπτυγμένες και μη χρηματιστηριακές αγορές, προσπαθώντας να διακρίνει κλάδους και εταιρίες που επηρεάζονται, με στόχο την κατανόηση των επιπτώσεων, τον εξορθολογισμό των απρόβλεπτων γεγονότων και τη μείωσητης αβεβαιότητας.

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Education and Participation in Political Violence: A Look into Non-Linear Associational Patterns

Saeed

2018

Peace Economics, Peace Science and Public Policy

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This paper presents empirical evidence for nonlinear relationship between education attainment and participation in political violence. The results are based on unweighted and weighted Probit estimations using a consolidated dataset of 200 militants and representative sample of over 13,000 Pakistanis. The results reveal that likelihood of participation in political violence increases with education attainment. However, the response of education attainment to political violence is diverse and those with education around high school are more likely to engage in political violence than any other level of education. At no level of education, the likelihood for participation in political violence is found to be negative. Hence, while political violence seems to be associated with literacy, there are noteworthy variations in the extent to which literacy affects political violence.

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The tree of political violence: a GMERT analysis

Cited by 6 publications

References 24 publications

Comparing Classification Trees to Discern Patterns of Terrorism*

Comparing Classification Trees to Discern Patterns of Terrorism*

Εξωγενείς Διαταρακτικοί Παράγοντες Και Χρηματοπιστωτικές Αγορές

Education and Participation in Political Violence: A Look into Non-Linear Associational Patterns

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