On the Design, Development and Use of the Social Data Analytics Tool (SODATO): Design Propositions, Patterns, and Principles for Big Social Data Analytics

    Research output: Book/ReportPh.D. thesisResearch

    Abstract

    This PhD is about the design, development and evaluation of the Social Data Analytics Tool (SODATO) to collect, store, analyze, and report big social data emanating from the social media engagement of and social media conversations about organizations. Situated with in the academic domains of Data Science, Computational Social Science and Information Systems, the PhD project addressed two general research questions about the technological architectures and design principles for big social data analytics in an organisational context.
    The PhD project is grounded in the theory of socio-technical interactions for better understanding perception of, and action on, the screen when individuals use social media platforms such as Facebook. Based on the theory of socio-technical interactions, a conceptual model of social data was generated. This conceptual model of social data model consists of two components: social graph and social text. The social graph consists of the structure of the relationships emerging from social media appropriation and focuses on identifying the actors involved, the actions they take, the activities they engage in, and the artefacts they create and interact with. Social text consists of the communicative and linguistic aspects of the social media interaction such as the topics discussed, keywords mentioned, pronouns used and sentiments expressed. The conceptual model of social data is then used to specify the formal model of social data using the mathematics of set theory.
    The design science methodological framework of Action Design Research (ADR) was employed to create the ITArtefact, Social Data Analytics Tool (SODATO) in close collaboration with multiple stakeholders. In order to evaluate the rigour and relevance of SODATO for conducting different kinds of academic and industry analysis, the tool was utilized in four different domain-specific empirical case studies covering the range of predictive, prescriptive, descriptive and visual analytics paradigms.
    The contributions of the PhD project include the IT-Artefact SODATO itself, the triadic model of design science contributions consisting of design propositions, design principles, and software design patterns for big social data analytics in general, and an analytical framework for set-theoretical computational social science.
    This PhD is about the design, development and evaluation of the Social Data Analytics Tool (SODATO) to collect, store, analyze, and report big social data emanating from the social media engagement of and social media conversations about organizations. Situated with in the academic domains of Data Science, Computational Social Science and Information Systems, the PhD project addressed two general research questions about the technological architectures and design principles for big social data analytics in an organisational context.
    The PhD project is grounded in the theory of socio-technical interactions for better understanding perception of, and action on, the screen when individuals use social media platforms such as Facebook. Based on the theory of socio-technical interactions, a conceptual model of social data was generated. This conceptual model of social data model consists of two components: social graph and social text. The social graph consists of the structure of the relationships emerging from social media appropriation and focuses on identifying the actors involved, the actions they take, the activities they engage in, and the artefacts they create and interact with. Social text consists of the communicative and linguistic aspects of the social media interaction such as the topics discussed, keywords mentioned, pronouns used and sentiments expressed. The conceptual model of social data is then used to specify the formal model of social data using the mathematics of set theory.
    The design science methodological framework of Action Design Research (ADR) was employed to create the ITArtefact, Social Data Analytics Tool (SODATO) in close collaboration with multiple stakeholders. In order to evaluate the rigour and relevance of SODATO for conducting different kinds of academic and industry analysis, the tool was utilized in four different domain-specific empirical case studies covering the range of predictive, prescriptive, descriptive and visual analytics paradigms.
    The contributions of the PhD project include the IT-Artefact SODATO itself, the triadic model of design science contributions consisting of design propositions, design principles, and software design patterns for big social data analytics in general, and an analytical framework for set-theoretical computational social science.
    LanguageEnglish
    Place of PublicationFrederiksberg
    PublisherCopenhagen Business School [Phd]
    Number of pages220
    ISBN (Print)9788793339866
    ISBN (Electronic)9788793339873
    StatePublished - 2016
    SeriesPhD Series
    Number11.2016
    ISSN0906-6934

    Bibliographical note

    CBS Library does not have access to the material

    Cite this

    @phdthesis{719291f12dec4591890c90c94afa52da,
    title = "On the Design, Development and Use of the Social Data Analytics Tool (SODATO): Design Propositions, Patterns, and Principles for Big Social Data Analytics",
    abstract = "This PhD is about the design, development and evaluation of the Social Data Analytics Tool (SODATO) to collect, store, analyze, and report big social data emanating from the social media engagement of and social media conversations about organizations. Situated with in the academic domains of Data Science, Computational Social Science and Information Systems, the PhD project addressed two general research questions about the technological architectures and design principles for big social data analytics in an organisational context.The PhD project is grounded in the theory of socio-technical interactions for better understanding perception of, and action on, the screen when individuals use social media platforms such as Facebook. Based on the theory of socio-technical interactions, a conceptual model of social data was generated. This conceptual model of social data model consists of two components: social graph and social text. The social graph consists of the structure of the relationships emerging from social media appropriation and focuses on identifying the actors involved, the actions they take, the activities they engage in, and the artefacts they create and interact with. Social text consists of the communicative and linguistic aspects of the social media interaction such as the topics discussed, keywords mentioned, pronouns used and sentiments expressed. The conceptual model of social data is then used to specify the formal model of social data using the mathematics of set theory. The design science methodological framework of Action Design Research (ADR) was employed to create the ITArtefact, Social Data Analytics Tool (SODATO) in close collaboration with multiple stakeholders. In order to evaluate the rigour and relevance of SODATO for conducting different kinds of academic and industry analysis, the tool was utilized in four different domain-specific empirical case studies covering the range of predictive, prescriptive, descriptive and visual analytics paradigms. The contributions of the PhD project include the IT-Artefact SODATO itself, the triadic model of design science contributions consisting of design propositions, design principles, and software design patterns for big social data analytics in general, and an analytical framework for set-theoretical computational social science.",
    author = "Abid Hussain",
    note = "CBS Library does not have access to the material",
    year = "2016",
    language = "English",
    isbn = "9788793339866",
    publisher = "Copenhagen Business School [Phd]",
    address = "Denmark",

    }

    On the Design, Development and Use of the Social Data Analytics Tool (SODATO) : Design Propositions, Patterns, and Principles for Big Social Data Analytics. / Hussain, Abid.

    Frederiksberg : Copenhagen Business School [Phd], 2016. 220 p.

    Research output: Book/ReportPh.D. thesisResearch

    TY - BOOK

    T1 - On the Design, Development and Use of the Social Data Analytics Tool (SODATO)

    T2 - Design Propositions, Patterns, and Principles for Big Social Data Analytics

    AU - Hussain,Abid

    N1 - CBS Library does not have access to the material

    PY - 2016

    Y1 - 2016

    N2 - This PhD is about the design, development and evaluation of the Social Data Analytics Tool (SODATO) to collect, store, analyze, and report big social data emanating from the social media engagement of and social media conversations about organizations. Situated with in the academic domains of Data Science, Computational Social Science and Information Systems, the PhD project addressed two general research questions about the technological architectures and design principles for big social data analytics in an organisational context.The PhD project is grounded in the theory of socio-technical interactions for better understanding perception of, and action on, the screen when individuals use social media platforms such as Facebook. Based on the theory of socio-technical interactions, a conceptual model of social data was generated. This conceptual model of social data model consists of two components: social graph and social text. The social graph consists of the structure of the relationships emerging from social media appropriation and focuses on identifying the actors involved, the actions they take, the activities they engage in, and the artefacts they create and interact with. Social text consists of the communicative and linguistic aspects of the social media interaction such as the topics discussed, keywords mentioned, pronouns used and sentiments expressed. The conceptual model of social data is then used to specify the formal model of social data using the mathematics of set theory. The design science methodological framework of Action Design Research (ADR) was employed to create the ITArtefact, Social Data Analytics Tool (SODATO) in close collaboration with multiple stakeholders. In order to evaluate the rigour and relevance of SODATO for conducting different kinds of academic and industry analysis, the tool was utilized in four different domain-specific empirical case studies covering the range of predictive, prescriptive, descriptive and visual analytics paradigms. The contributions of the PhD project include the IT-Artefact SODATO itself, the triadic model of design science contributions consisting of design propositions, design principles, and software design patterns for big social data analytics in general, and an analytical framework for set-theoretical computational social science.

    AB - This PhD is about the design, development and evaluation of the Social Data Analytics Tool (SODATO) to collect, store, analyze, and report big social data emanating from the social media engagement of and social media conversations about organizations. Situated with in the academic domains of Data Science, Computational Social Science and Information Systems, the PhD project addressed two general research questions about the technological architectures and design principles for big social data analytics in an organisational context.The PhD project is grounded in the theory of socio-technical interactions for better understanding perception of, and action on, the screen when individuals use social media platforms such as Facebook. Based on the theory of socio-technical interactions, a conceptual model of social data was generated. This conceptual model of social data model consists of two components: social graph and social text. The social graph consists of the structure of the relationships emerging from social media appropriation and focuses on identifying the actors involved, the actions they take, the activities they engage in, and the artefacts they create and interact with. Social text consists of the communicative and linguistic aspects of the social media interaction such as the topics discussed, keywords mentioned, pronouns used and sentiments expressed. The conceptual model of social data is then used to specify the formal model of social data using the mathematics of set theory. The design science methodological framework of Action Design Research (ADR) was employed to create the ITArtefact, Social Data Analytics Tool (SODATO) in close collaboration with multiple stakeholders. In order to evaluate the rigour and relevance of SODATO for conducting different kinds of academic and industry analysis, the tool was utilized in four different domain-specific empirical case studies covering the range of predictive, prescriptive, descriptive and visual analytics paradigms. The contributions of the PhD project include the IT-Artefact SODATO itself, the triadic model of design science contributions consisting of design propositions, design principles, and software design patterns for big social data analytics in general, and an analytical framework for set-theoretical computational social science.

    UR - http://libsearch.cbs.dk/primo_library/libweb/action/dlDisplay.do?docId=CBS01000731172&vid=CBS&afterPDS=true

    M3 - Ph.D. thesis

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    BT - On the Design, Development and Use of the Social Data Analytics Tool (SODATO)

    PB - Copenhagen Business School [Phd]

    CY - Frederiksberg

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