A combined semantic social network analysis framework to integrate social media data

Pankong, Nichakorn; Prakancharoen, Somchai; Buranarach, Marut

doi:10.1109/kst.2012.6287736

Cited by 9 publications

(5 citation statements)

References 10 publications

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“…There are, in fact, several ontologies developed to account for interactions on social media, situated, for the most part, situated in the context of either semantic web engineering social media data analytics (Mika, 2004). They are focused on providing formalisms that aid the analysis of platform connectivity structures between SNS users (Golbeck & Rothstein, 2008), sentiment analysis (Kumar & Joshi, 2017;Thakor & Sasi, 2015), influence (Razis & Anagnostopoulos, 2014), social network analysis (Pankong et al, 2012), user activities (Rosenberger et al, 2015) and product recommendations on SNS (Villanueva et al, 2016). Additionally, different ontologies draw from practical argumentation theories (e.g., Mann & Thompson, 1988;Toulmin, 1958;Walton, 2006) to account for the argumentation structure in social media conversations (for a survey, see Schneider et al, 2013).…”

Section: Theoretical Frameworkmentioning

confidence: 99%

An Ontology of Semiotic Activity and Epistemic Figuration of Heritage, Memory and Identity Practices on Social Network Sites

et al. 2023

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This study presents the construction and validation of a formal conceptual model, or domain ontology, useful for the formal representation and analysis of conversations on heritage, memory and identity (HMI) on social network sites (SNS), of interviews with participants in such conversations, and of scholarly works engaging with such phenomena. The ontology provides for the first time a conceptual framework for HM interactions on SNS addressing the semiotic and discursive nature of such interactions in the context of cultural-historical activity theory and semiosphere theory. Part of the Connective Digital Memory in the Borderlands research project, it is developed using an evidence-based knowledge elicitation and domain modeling approach. The study presents the three components of the ontology: an event-centric core conceptual model, an inductively derived concept taxonomy, and a meta-theoretical conceptual scheme, based on a combination of conceptual analysis and lexical analysis of relevant scholarly literature. To validate the ontology, it then provides an example of how it can be used to represent an actual HMI-related SNS conversation and scholarly intervention using knowledge graphs, a quantitative analysis of the occurrence of taxonomy terms in different subfields of HMI on SNS studies, a qualitative analysis of concepts used in studies on non-professional, archeological, and institutional heritage communication on SNS, and a meta-theoretical account of studies of HMI on SNS. The ontology can be used as a framework for theorization and for the development of data models, questionnaire protocols, thematic analysis vocabularies, and analysis queries relevant to HMI on SNS research.

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Section: Theoretical Frameworkmentioning

confidence: 99%

An Ontology of Semiotic Activity and Epistemic Figuration of Heritage, Memory and Identity Practices on Social Network Sites

et al. 2023

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“…The pervasive spread of social networks has prompted researchers to study the behavior of users who join social networks in various reference contexts [27][28][29]. Alongside the analysis of the structure of networks, which already provides very interesting knowledge patterns about the behavior of users accessing them, researchers have also begun to examine the content posted and exchanged between users [30][31][32][33]. Regarding the latter, elements of particular interest to them are the extraction of topics from texts and the assessment of the sentiment that users have about a given topic.…”

Section: Related Literature 21 Prefacementioning

confidence: 99%

A Space-Time Framework for Sentiment Scope Analysis in Social Media

Bonifazi

Cauteruccio

Corradini

et al. 2022

BDCC

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The concept of scope was introduced in Social Network Analysis to assess the authoritativeness and convincing ability of a user toward other users on one or more social platforms. It has been studied in the past in some specific contexts, for example to assess the ability of a user to spread information on Twitter. In this paper, we propose a new investigation on scope, as we want to assess the scope of the sentiment of a user on a topic. We also propose a multi-dimensional definition of scope. In fact, besides the traditional spatial scope, we introduce the temporal one, which has never been addressed in the literature, and propose a model that allows the concept of scope to be extended to further dimensions in the future. Furthermore, we propose an approach and a related set of parameters for measuring the scope of the sentiment of a user on a topic in a social network. Finally, we illustrate the results of an experimental campaign we conducted to evaluate the proposed framework on a dataset derived from Reddit. The main novelties of this paper are: (i) a multi-dimensional view of scope; (ii) the introduction of the concept of sentiment scope; (iii) the definition of a general framework capable of analyzing the sentiment scope related to any subject on any social network.

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“…The proposed framework is abstract and does not allow deriving the related data of the activities. Pankong et al's [18] ontology for social activities is more concrete. In principle, the ontology is an entity-relationship-model, which shows entities (e.g.…”

Section: Related Workmentioning

confidence: 99%

“…Research on user activities in social media is contemporary and there are a number of existing conceptualisations [17][18][19]22]. These are valuable to understand the user's motivation of being active and show some features of social media.…”

Section: Introductionmentioning

confidence: 99%

Conceptualising and Exploring User Activities in Social Media

Rosenberger

Lehmkuhl²,

Jung

2015

Open and Big Data Management and Innovation

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Abstract. A growing number of companies are recognising the benefits of using social media in customer relationship management. At the same time, the consumers' expectations are rising: short response times, individual communication, real interaction with humans, and participation. It is a challenge to observe the many different user activities on many different social media sites. The aim is to reduce the complexity of integrating multiple social media sites with enterprise systems. Therefore, a conceptualisation of user activities in social media is presented. A user activity is a cross-over of an action invoked on an object and a user who acts in a certain context. The 40 user activity types are compared with actual features of ten social media sites. We find out that a substantial share of them can be integrated technically using the social media site's Application Programming Interfaces (APIs).

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A combined semantic social network analysis framework to integrate social media data

Cited by 9 publications

References 10 publications

An Ontology of Semiotic Activity and Epistemic Figuration of Heritage, Memory and Identity Practices on Social Network Sites

An Ontology of Semiotic Activity and Epistemic Figuration of Heritage, Memory and Identity Practices on Social Network Sites

A Space-Time Framework for Sentiment Scope Analysis in Social Media

Conceptualising and Exploring User Activities in Social Media

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