Политическая наука №2 / 2015. Познавательные возможности политической науки
Шрифт:
Шпилькин С.А. Математика выборов – 2011 // Троицкий вариант. – 2011. – № 94. – С. 2–4.
Шпилькин С.А. Статистика исследовала выборы // Газета.ру. – 2011. – Режим доступа:(Дата посещения: 25.10.2014.)
Якимец В.Н. Индекс для оценки и мониторинга публичной политики // Публичное пространство, гражданское общество и власть: опыт взаимодействия. – М.: РАПН; РОССПЭН, 2008. – С. 107–121.
Якимец В.Н. Индекс
Aguilera M., Morer I., Barandiaran X.E., Bedia M.G. Quantifying political self-organization in social media. Fractal patterns in the Spanish 15 M movement on Twitter // Advances in artificial life. ECAL. – 2013. – T. 12. – P. 395–402.
Almquist Z.W., Butts C.T. Dynamic network logistic regression: A logistic choice analysis of inter- and intra-group blog citation dynamics in the 2004 US presidential election // Political analysis. – 2013. – Vol. 21, N 4. – P. 430–448.
Alvarez R.M., Atkeson L.R., Hall Th. Evaluating elections: a handbook of methods and standards. – N.Y.: Cambridge univ. press, 2013. – 180 p.
Baerveldt C. Ethnic boundaries in high school students’ networks in flanders and the Netherlands / Baerveldt C., Zijlstra B., Wolf de M., Van Rossem R., Duijn M.A.J., van // International sociology. – 2007. – Vol. 22. – P. 701–719.
Bakker R., Poole K.T. Bayesian metric multidimensional scaling // Political analysis. – 2013. – Vol. 21, N 2. – P. 125–140.
Barbera P. Birds of the same feather tweet together: Bayesian ideal point estimation using Twitter data // Political analysis. – 2015. – Vol. 23, N 1. – P. 76–91.
Beber B., Scacco A. What the numbers say: A digit-based test for election fraud // Political analysis. – 2012. – Vol. 20. – P. 211–234.
Breunig C., Goerres A. Searching for electoral irregularities in an established democracy: Applying Benford’s law tests to Bundestag elections in unified Germany // Electoral studies. – 2011. – Vol. 30. – P. 534–545.
Brown C.T., Liebovitch L.S. Fractal analysis. Quantitative applications in the social sciences. – Los Angeles, CA: SAGE Publications, 2010. – Vol. 165. – 90 p.
Buttice M.K., Highton B. How does multilevel regression and poststratification perform with conventional national surveys? // Political analysis. – 2013. – Vol. 21, N 4. – P. 449–467.
Carriquiry A.L. Election forensics and the 2004 Venezuelan presidential recall. referendum as a case study // Statistical science. – 2011. – Vol. 26, N 4. – P. 471–478.
Deckert J., Myagkov P., Ordeshook P.C. The irrelevance of Benford’s law for detecting fraud in elections /// Caltech. MITvoting technology project working paper. – 2010. – N 9. – Mode of access:(Дата посещения: 20.10.2014.)
Configurational comparative methods: Qualitative comparative analysis (QCA) and related techniques / Ed. B. Rihoux, Ch. Ragin. – London: SAGE Publications, 2009. – 209 p.
DeBell M. Harder Than it looks: Coding political knowledge on the ANES // Political analysis. – 2013. – Vol. 21, N 3. – P. 393–406.
Deckert J. Benford’s law and the detection of election fraud. / J. Deckert, M. Myagkov, P.C. Ordeshook // Political analysis. – 2011. – Vol. 19. – P. 245–268.
Diekmann A. Benford's law and fraud detection: facts and legends. / A. Diekmann, J. Ben // German economic review. – 2010. – № 11 (3). – P. 397–401.
Duijn M.A.J., Vermunt J.K. What is special about social network analysis? // Methodology. – 2006. – Vol. 2. – P. 2–6.
Election fraud: Detecting and deterring electoral manipulation / Ed. Alvarez, Michael R., Hall, Thad E., Hyde, Susan D. – Washington, DC: Brookings institut. press – 2008. – 255 p.
Elff M. A Dynamic state-space model of coded political texts // Political analysis. – 2013. – Vol. 21, N 2. – P. 217–232.
Estok M., Nevitte N., Cowan G. The quick count and election observation / National democratic institute for international affairs. – Washington, DC, 2002. – 182 p.
Fewster R.M. A Simple explanation of Benford’s law // The American statistician. – 2009. – February. – Vol. 63, N 1. – P. 26–32.
Grimmer J., Stewart B.M. Text as data: The promise and pitfalls of automatic content analysis methods for political texts // Political analysis. – 2013. – Vol. 21, N 2. – P. 267–297.
Implementing risk-limiting post-election audits in California / Hall J.L., Miratrix L.W., Stark P.B. et al. // 2009 Electronic voting technology. Workshop on Trustworthy Elections (EVT/WOTE '09). – Montreal, 2009. – 24 p.
Hug S. Qualitative comparative analysis: How inductive use and measurement error lead to problematic inference // Political analysis. – 2013. – Vol. 21, N 2. – P. 252–265.
Statistical detection of systematic election irregularities. / Klimek P., Yegorov Yu. et al. // PNAS. – 2012. – Vol. 109 (41). – P. 16469–16473.
Kobak D., Shpilkin S., Pshenichnikov M.S. Statistical anomalies in 2011–2012 Russian elections revealed by 2 D correlation analysis. – 2012. – Mode of access:(Дата посещения: 15.04.2013.)