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Department: search.filters.department.Department of International RelationsSubject: search.filters.subject.Anthropology

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Now showing 1 - 3 of 3
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    Cognitive political networks: A structural approach to measure political polarization in multiparty systems
    (Elsevier, 2022) N/A; Department of International Relations; Department of International Relations; Department of International Relations; Ertan, Güneş; Çarkoğlu, Ali; Aytaç, Selim Erdem; Faculty Member; Faculty Member; Faculty Member; Department of International Relations; College of Administrative Sciences and Economics; College of Administrative Sciences and Economics; College of Administrative Sciences and Economics; 219276; 125588; 224278
    While there is a well-established literature on measuring political polarization in two-party systems, relational approaches to polarization in multiparty systems are still very limited. In this paper we develop a network-based approach for measuring perceived party polarization in survey studies that is suitable for multiparty systems. Our approach is based on cognitive social structures design. We generate a cognitive political network for each respondent in a nationally representative survey in Turkey by asking respondents their perceived ties among all possible dyadic relations among major political parties. From these networks we calculate multiple whole network measures that may be reasonable proxies for perceived party polarization. We compare our approach with the Left-Right political ideology distance scale commonly used in survey studies. Our analyses show that the association between our measure and the Left-Right ideological distance is limited. The cognitive political network approach may be a flexible and a direct alternative for measuring political phenomena in survey studies such as perceived party polarization in multiparty contexts.
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    Moderate Islam and secularist opposition in Turkey: implications for the world, Muslims and secular democracy
    (Routledge Journals, Taylor & Francis Ltd, 2007) Department of International Relations; Somer, Murat; Faculty Member; Department of International Relations; College of Administrative Sciences and Economics; 110135
    Developing an argument based in theories of democratic consolidation and religious competition, and discussing the reasons for the secularist opposition to the government, this article analyses how government by a party rooted in moderate Islamism may affect Turkeys peculiar secular democracy, development and external relations and how Muslims in the world relate to modernization and democracy. Arguing that secularism in advanced democracies may be a product of democracy as much as it is the other way around, the article maintains that democratic consolidation may secure further consolidation of Turkish secularism and sustainable moderation of Turkish political Islam. Besides democratic Islamic-conservative actors and other factors, democratic consolidation requires strong democratic-secularist political parties so that secularist and moderate Islamist civilian actors check and balance each other. Otherwise, middle class value divisions and mistrust in areas like education and social regulation may jeopardise democratisation and economic modernisation and continuing reconciliation of Islamism with secular democracy and modernity.
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    Omission and commission errors in network cognition and network estimation using roc curve
    (Elsevier Science Bv, 2017) Yenigun, Deniz; Siciliano, Michael; Department of International Relations; Ertan, Güneş; Faculty Member; Department of International Relations; College of Administrative Sciences and Economics; 219276
    Network studies on cognitive social structures collect relational data on respondents' direct ties and their perception of ties among all other individuals in the network. When reporting their perception networks, respondents commit two types of errors, namely, omission (false negatives) and commission (false positives) errors. We first assess the relationship between these two error types, and their contributions on overall respondent accuracy. Next we propose a method for estimating networks based on perceptions of a random sample of respondents from a bounded social network, which utilizes the receiver operator characteristic curve for balancing the tradeoffs between omission and commission errors. (C) 2017 Elsevier B.V. All rights reserved.