Qualitative and quantitative analysis of social network data intended for brand management

2019 ◽  
Author(s):  
Dagmar Babčanová ◽  
Jana Šujanová ◽  
Dagmar Cagáňová ◽  
Natália Horňáková ◽  
Henrieta Hrablik Chovanová
Pragmatics ◽  
2015 ◽  
Vol 25 (1) ◽  
pp. 99-122 ◽  
Author(s):  
Brook Bolander ◽  
Miriam A. Locher

This paper applies the theoretical concept of ‘acts of positioning’ (Davis & Harré 1990) to a qualitative and quantitative analysis of 474 status updates (SUs) taken from the Facebook Walls of twenty individuals living in Switzerland and the UK. Our aim is to analyze how individuals construct their identities through the use of language. The results show that individuals position themselves in five central ways, i.e., they stress aspects of their personality, pastime endeavors, sense of humor, work and relationship. Through a subsequent analysis of 228 reactions to status updates (RSUs), we also address how these acts are responded to, and thereby demonstrate that individuals predominantly support identity claims made in the SUs. Our paper contributes to existing research on language and identity in social network sites (SNSs), and demonstrates the fruitful application of the concept of ‘acts of positioning’.


2015 ◽  
Vol 21 ◽  
pp. 301
Author(s):  
Armand Krikorian ◽  
Lily Peng ◽  
Zubair Ilyas ◽  
Joumana Chaiban

Methodology ◽  
2006 ◽  
Vol 2 (1) ◽  
pp. 42-47 ◽  
Author(s):  
Bonne J. H. Zijlstra ◽  
Marijtje A. J. van Duijn ◽  
Tom A. B. Snijders

The p 2 model is a random effects model with covariates for the analysis of binary directed social network data coming from a single observation of a social network. Here, a multilevel variant of the p 2 model is proposed for the case of multiple observations of social networks, for example, in a sample of schools. The multilevel p 2 model defines an identical p 2 model for each independent observation of the social network, where parameters are allowed to vary across the multiple networks. The multilevel p 2 model is estimated with a Bayesian Markov Chain Monte Carlo (MCMC) algorithm that was implemented in free software for the statistical analysis of complete social network data, called StOCNET. The new model is illustrated with a study on the received practical support by Dutch high school pupils of different ethnic backgrounds.


INFO ARTHA ◽  
2017 ◽  
Vol 2 ◽  
pp. 56-79
Author(s):  
NFN Khusnaini ◽  
Agung Widi Hatmoko

Attitudes towards tax compliance (willingness to comply) Indonesian society is still low. Required an innovative tax dissemination to increase it. The purpose of this study was to determine whether the tax dissemination based on Fogg Behavioral Model (FBM) approach may increase wiliingness to comply. The FBM based tax dissemination asserts that for a person to perform a target behavior, which is a willingness to comply, he or she must be sufficiently motivated, have the ability to perform the behavior, and be trigerred, to perform the behavior. This research is a combination of qualitative and quantitative analysis of statistical data results of the questionnaire, interviews, and observations of the respondent and the experimental process of dissemination. The method used in this study is a quasi experimental with patterns of nonequivalent control group (pretest-post which is not equivalent). Based on the results of data analysis, interviews and observations of the respondent and the experiment, this research showed that theFBMbasedtaxdissemination hasapositiveimpactto willingnesstocomplyofthetaxpayers. 


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