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- The article intends to supply a general theoretical picture within which the meanings of the concepts of social inequality and social stratification are explained, and the dimensions through which is possible to analyze such concepts are specified. A critical treatment is then devoted to the use of the Social evaluation of the occupations scale.Key words: Social Stratification, Social inequality, Stratification Scale, Social evaluation of the occupational scale, Prestige, Power

In a society in which leisure and consumption have become increasingly central in the lives of individuals, the interior of a person's home may facilitate the pursuit of social goals and symbolize his or her status. This study, carried out in Italy, identifies two dimensions useful to characterize in a meaningful way the styles of interior decoration found in the living rooms of 100 homes in a metropolitan area. Findings indicate that the choice of a style of decor seems not to be mainly dependent upon income, but to be more related to the degree of status consistency and social mobility of the individuals.

Intro -- Preface -- Contents -- 1 Introduction -- References -- Epistemology -- 2 On Data, Big Data and Social Research. Is It a Real Revolution? -- Abstract -- 1 Data-Bases Are not a Repository -- 2 Some Consequences for Building a Data Science for Social Research -- References -- 3 New Data Science: The Sociological Point of View -- Abstract -- 1 The Reframing of Social Sciences -- 2 Data as Signification Acts -- 3 Data Culture, Data Assemblage and Data Science -- 4 Sense Making, Small Decisions and Social Actors -- 5 Final Remarks -- References -- 4 Data Revolutions in Sociology -- Abstract -- References -- 5 Blurry Boundaries: Internet, Big-New Data, and Mixed-Method Approach -- Abstract -- 1 Introduction -- 2 New Contexts and New Data -- 3 The Study of the Online Textual Data -- 3.1 What Is New in Approaches and Analytics? -- 3.2 Concerns and Boundaries -- 4 Open Questions -- References -- 6 Social Media and the Challenge of Big Data/Deep Data Approach -- Abstract -- 1 The Field of Observation: The Nature of the Data and the Perspective of Collection -- 2 Computational Social Sciences and Big Data: New Research Questions -- 3 Big Data: Critical Issues -- 3.1 The Contingency of the UGC: The Dimension of Time Is Relevant -- 3.2 The Architecture of the Platforms Counts -- 3.3 Making Sense of Network -- 3.4 Deep Data and the Context of the Facts -- 4 Conclusions -- References -- 7 Governing by Data: Some Considerations on the Role of Learning Analytics in Education -- Abstract -- 1 Introduction -- 2 The Transformative Power of Data -- 3 System of Measurement -- 3.1 Description -- 3.2 Prediction/Prescription -- 3.3 Accountability -- 4 Culture of Evidence -- 4.1 Short Circuits -- 4.2 Collateral Risks -- 4.3 Methods -- 5 System of Influence -- 5.1 Hybrid Actors -- 5.2 Software Space -- 5.3 Transactional Pedagogies