Везде
ONLINE BIG DATA AS A SOURCE OF ANALYTICAL INFORMATION IN ONLINE RESEARCH
Table of contents
Annotation Estimate Publication content
References Comments
Share
QR
Metrics
ONLINE BIG DATA AS A SOURCE OF ANALYTICAL INFORMATION IN ONLINE RESEARCH
Annotation
PII
S0132-16250000392-7-1
Publication type
Article
Status
Published
Authors
Nadezhda Koritnikova 
Edition
Volume 376 Issue 8
Pages
14-24
Abstract
Online Big Data (OBD) in sociological research is considered as quantitative information about website visitors, their Internet activity, individual preferences and interests. The article summarizes the capabilities of analytical platforms for collecting, processing and storing big data, and presents a system of their indicators used for sociological analysis. Taking into account that the methodology of big data analysis is under development, it is proposed to introduce a conceptual and methodological scheme OBD analysis, metadata monitoring for implementation of technical operating principles and regular adjustments, automation of work with large text arrays, standardization of web measurements.
Keywords
Big Data (big data), Online Big Data, counters, loganalyzers, blog analyzers, classification of OBD indicators, metadata monitoring, standardization of web measurements
Date of publication
01.08.2015
Number of purchasers
1
Views
553
Readers community rating
0.0 (0 votes)
Cite Download pdf

References



Additional sources and materials

Andreeva A.N., Nikitina M.S. Sentiment-analiz brendov v rossijskoj blogosfere kak instrument marketingovykh issledovanij // Brend-menedzhment. 2012. № 4(65). S. 226–243.


Davydov A.A. Sotsiologiya izuchaet blogosferu // Sotsiologicheskie issledovaniya. 2008. № 11.S. 92–101.


Danishevskaya O. Osnovy veb-analitiki: prakticheskoe rukovodstvo dlya marketologa. URL: http://www.dewpoint.by/blog/?p=233 (data obrascheniya: 15.06.2014).


Devyatko I.F. Instrumentarij onlajn-issledovanij: popytka katalogizatsii // Onlajn issledovaniya v Rossii 3.0 / Pod red. A.V. Shashkina, I.F. Devyatko, S.G. Davydova. M.: Izdatel'skijdom “Kodeks”, 2012. S. 17–30.


Devyatko I.F. Onlajn issledovaniya i metodologiya sotsial'nykh nauk: novye gorizonty, novye(i ne stol' novye) trudnosti // Onlajn issledovaniya v Rossii 2.0. / Pod red. A.V. Shashkina,I.F. Devyatko, S.G. Davydova. M., 2010. S. 17–30.


Kol'tsova E.Yu., Maslinskij K.A. Chem dyshit blogosfera? K metodologii analiza bol'shikh tekstovykh dannykh dlya sotsiologicheskikh zadach. URL: http://www.hse.ru/data/2012/12/19/1303704701/3.pdf (data obrascheniya: 19. 06.2014).


Kol'tsova O.Yu., Efimova T.G. Vyyavlenie sotsial'nykh problem i izmenenij cherez analiz bol'shikh massivov tekstov v blogakh i sotsial'nykh setyakh // Vserossijskij nauchno-prakticheskijsimpozium “Sotsial'nye kommunikatsii: universum professional'noj deyatel'nosti”.Sankt-Peterburg, 9–10 noyabrya 2011 g.


Mavletova A.M. Provedenie onlajn RDS ehksperimenta: izuchenie motivatsii gemblerov // Vestnik Rossijskogo universiteta druzhby narodov. Seriya: Sotsiologiya. 2010. № 4. C. 36–49.


Pavlova Yu., Kol'tsova O. K metodologii sbora internet-dannykh dlya sotsiologicheskogo analiza.URL: http://www.hse.ru/data/2012/12/20/1303709415/Julija%20Pavlova,%20Olesja%20Kolcova,K%20metodol..%20dlja%20sociologicheskogo%20analiza.pdf (data obrascheniya: 4.05.2013).


Revolyutsiya Big Data: Kak izvlech' neobkhodimuyu informatsiyu iz “Bol'shikh dannykh”? URL: http://www.statsoft.ru/products/Enterprise/big-data.php (data obrascheniya: 04. 06.2013).


Tereschenko E., Ravlik M. Instrumenty sotsiologicheskogo analiza internet-tekstov i internet-setej: obzor sovremennogo programmnogo obespecheniya.URL: http://www.hse.ru/data/2012/12/20/1303709437/Elizaveta%20Tereschenko,%20Instrumenty%20socio..nogo%20programmnogo%20obespechenija.pdf (data obrascheniya: 05.05.2013).


Churakov A.N. “Informatsionnoe obschestvo” i ehmpiricheskaya sotsiologiya // Sotsiologicheskie issledovaniya. 1998. № 1. S. 35–44.


Chang L., Krosnick J.A. National surveys via RDD telephone interviewing versus the internet comparingsample representativeness and response quality // Public Opinion Quarterly. Vol. 73. № 4. Winter2009. P. 641–678


Couper M.P. Designing Effective Web Surveys. New York: Cambridge University Press, 2008.


Malhotra N. Completion time and response order effects in web surveys // Public Opinion Quarterly.2008. Vol. 72. № 5. P. 914–934.


Messer B.L., Dillman D.A. Surveying the general public over the internet using address-based samplingand mail contact procedures // Public Opinion Quarterly. 2011. Vol. 75. № 3. P. 429–457.


Smyth J.D., Dillman D.A., Christian L.M., Mcbride M. Open-ended questions in web surveys. Canincreasing the size of answer boxes and providing extra verbal instructions improve responsequality? // Public Opinion Quarterly. Vol. 73. № 2. Summer 2009. P. 325–337.


Toepoel V., Couper M.P. Can verbal instructions counteract visual context effects in web surveys? //Public Opinion Quarterly. 2011. Vol. 75. № 1. P. 1–18.

Comments

No posts found

Write a review
Translate