Social Network Analysis

Poverty in the United Kingdom

1 Introduction.- 2 The Concept of Happiness.- 2/1 The various meanings of the word happiness.- 2/2 Happiness defined.- 2/3 Components of happiness.- 2/4 Adjacent concepts.- 2/5 Synonyms of happiness.- 2/6 Summary.- 3 Can Happiness be Measured?.- 3/1 Validity problems.- 3/2 Reliability problems.- 3/3 Problems of comparison.- 3/4 Summary.- 4 Indicators of Happiness.- 4/1 Indicators of overall happiness.- 4/1.1 Direct questions.- 4/1.2 Indirect questions.- 4/1.3 Ratings by others.- 4/2 Indicators of hedonic level of affect.- 4/2.1 Direct questions.- 4/2.2 Indirect questions.- 4/2.3 Ratings by others.- 4/3 Indicators of contentment.- 4/4 Composites.- 4/5 Do the three kinds of indicators tap different phenomena?.- 4/6 Summary.- 5 Gathering the Available Data.- 5/1 Searching empirical happiness studies.- 5/2 The studies found.- 5/3 Presenting the findings.- 5/4 Limitations of the data.- 5/5 Summary.- 6 Happiness and Living Conditions.- 6/1 Happiness and society.- 6/1.1 Economic conditions.- 6/1.2 Political conditions.- 6/1.3 Peace and war.- 6/1.4 Some regional differences in happiness.- 6/2 Happiness and one's place in society.- 6/2.1 Gender.- 6/2.2 Age-differences.- 6/2.3 Minority status.- 6/2.4 Income.- 6/2.5 Education.- 6/2.6 Occupational prestige.- 6/2.7 Global social rank.- 6/3 Happiness and work.- 6/3.1 Having a job or not.- 6/3.2 Occupation.- 6/3.3 Voluntary work.- 6/4 Happiness and intimate ties.- 6/4.1 Marriage.- 6/4.2 Children.- 6/4.3 Friends and relatives.- 6/5 Summary.- 7 Happiness and Individual Characteristics.- 7/1 Happiness and personal resources.- 7/1.1 Physical health.- 7/1.2 General mental effectiveness.- 7/1.3 Specific abilities.- 7/1.4 Activity level.- 7/1.5 Richness of mental life.- 7/2 Happiness and some personality traits.- 7/2.1 Perceived fate control.- 7/2.2 Defensive strategies.- 7/2.3 Tendencies to like things.- 7/2.4 Time orientation.- 7/3 Happiness and lifestyle.- 7/4 Happiness and longings.- 7/5 Happiness and convictions.- 7/5.1 Happiness and ethical values.- 7/5.2 Religion.- 7/5.3 (Un)-conventionality of outlook.- 7/5.4 Views on happiness.- 7/6 Happiness and appreciations.- 7/6.1 Appreciation of oneself.- 7/6.2 Appreciation of other people.- 7/6.3 Appreciation of society.- 7/6.4 Appreciation of one's social position.- 7/6.5 Appreciation of one's work.- 7/6.6 Appreciation of leisure.- 7/6.7 Appreciation of one's living environment.- 7/6.8 Appreciation of one's health.- 7/6.9 Which global life-aspect-satisfactions are most closely related to happiness?.- 7/7 Summary.- 8 Antecedents of Happiness.- 8/1 Happiness and earlier living conditions.- 8/1.1 Conditions in youth.- 8/1.2 Earlier conditions in adulthood.- 8/2 Happiness and earlier personal characteristics.- 8/3 Summary.- 9 Conclusions.- 9/1 Conditions of happiness.- 9/1.1 Which correlates represent causes?.- 9/1.2 Variations in correlations.- 9/1.3 The correlates in context.- 9/1.4 Some lines for further research.- 9/2 Myths about happiness.- 9/2.1 The myth that modern western society is a sink of unhappiness.- 9/2.2 Myths about things that make for happiness in western societies.- 9/2.3 The myth that living conditions do not matter.- 9/2.4 The myth that happiness is not a significant matter.- References.- Author index.

Conditions for Happiness

Theory of Correspondence Analysis

Emotional Text Mining: Customer profiling in brand management

Social Indicators Research (SIR) year by year has consolidated its preeminent position in the debate concerning the study of all the aspects of quality of life. The need of a journal focused on the quantitative evaluation of social realities and phenomena dating back to the seventies, when a new branch of Social Science—called Social Indicators Research—came into the international scientific landscape. This paper aims at reviewing the whole collection of publications appeared on SIR from 1989 to 2018, providing a complete overview of the main factor that affected the journal in the last 30 years. The approach followed to analyse this extensive corpus of documents relies upon the theoretical framework of bibliometric studies.

Mapping the Evolution of Social Research and Data Science on 30 Years of Social Indicators Research

Web 2.0 allows people to express and share their opinions about products and services they buy/use. These opinions can be expressed in various ways: numbers, texts, emoticons, pictures, videos, audios, and so on. There has been great interest in the strategies for extracting, organising and analysing this kind of information. In a social media mining framework, in particular, the use of textual data has been explored in depth and still represents a challenge. On a rating and review website, user satisfaction can be detected both from a rating scale and from the written text. However, in common practice, there is a lack of algorithms able to combine judgments provided with both comments and scores. In this paper we propose a strategy to jointly measure the user evaluations obtained from the two systems. Text polarity is detected with a sentiment-based approach, and then combined with the associated rating score. The new rating scale has a finer granularity. Moreover, also enables the reviews to be ranked. We show the effectiveness of our proposal by analysing a set of reviews about the Uffizi Gallery in Florence (Italy) published on TripAdvisor.

Combining different evaluation systems on social media for measuring user satisfaction

Using Opinion Mining as an educational analytic: An integrated strategy for the analysis of students’ feedback

The COVID-19 pandemic influenced people’s everyday lives because of the health emergency and the resulting socio-economic crisis. People use social media to share experiences and search for information about the disease more than before. This paper aims at analysing the discourse on COVID-19 developed in 2020 by Italian tweeters, creating a digital storytelling of the pandemic. Employing thematic analysis, an approach used in bibliometrics to highlight the conceptual structure of a research domain, different time slices have been described, bringing out the most discussed topics. The graphical mapping of these topics allowed obtaining an easily readable representation of the discourse, paving the way for novel uses of thematic analyses in social sciences.

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Michelangelo Misuraca

Papers

Mapping the Evolution of Social Research and Data Science on 30 Years of Social Indicators Research

Combining different evaluation systems on social media for measuring user satisfaction

Using Opinion Mining as an educational analytic: An integrated strategy for the analysis of students’ feedback

Thematic Analysis as a New Culturomic Tool: The Social Media Coverage on COVID-19 Pandemic in Italy

A network-based concept extraction for managing customer requests in a social media care context