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Rodriguez-Gonzalez, AlejandroAuthor

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June 9, 2019
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Article

A Semantic Social Network Analysis Tool for Sensitivity Analysis and What-If Scenario Testing in Alcohol Consumption Studies

Publicated to:International Journal Of Environmental Research And Public Health. 15 (11): E2420- - 2018-11-01 15(11), DOI: 10.3390/ijerph15112420

Authors: Alberto Benitez-Andrades, Jose; Rodriguez-Gonzalez, Alejandro; Benavides, Carmen; Sanchez-Valdeon, Leticia; Garcia, Isaias;

Affiliations

Univ Leon, Fac Ciencias Salud, SALBIS Res Grp, Campus Ponferrada Avda Astorga S-N, Ponferrada 24402, Leon, Spain - Author
Univ Leon, SECOMUCI Res Grp, Escuela Ingn Ind & Informat, Campus Vegazana S-N, E-24071 Leon, Spain - Author
Univ Politecn Madrid, Escuela Tecn Super Ingenieros Informat, Ctr Tecnol Biomed, E-28660 Madrid, Spain - Author

Abstract

Social Network Analysis (SNA) is a set of techniques developed in the field of social and behavioral sciences research, in order to characterize and study the social relationships that are established among a set of individuals. When building a social network for performing an SNA analysis, an initial process of data gathering is achieved in order to extract the characteristics of the individuals and their relationships. This is usually done by completing a questionnaire containing different types of questions that will be later used to obtain the SNA measures needed to perform the study. There are, then, a great number of different possible network-generating questions and also many possibilities for mapping the responses to the corresponding characteristics and relationships. Many variations may be introduced into these questions (the way they are posed, the weights given to each of the responses, etc.) that may have an effect on the resulting networks. All these different variations are difficult to achieve manually, because the process is time-consuming and error-prone. The tool described in this paper uses semantic knowledge representation techniques in order to facilitate this kind of sensitivity studies. The base of the tool is a conceptual structure, called ontology that is able to represent the different concepts and their definitions. The tool is compared to other similar ones, and the advantages of the approach are highlighted, giving some particular examples from an ongoing SNA study about alcohol consumption habits in adolescents.

Keywords

alcohol consumptionontologysemantic knowledge representationsensitivity analysissocial network analysisAdolescentAdolescent behaviorAdolescentsAlcohol consumptionAlcohol drinkingAuditBinge drinkingFemaleFriendshipHumansInterpersonal relationsMaleOntologyPrevalenceSchoolSelf conceptSemantic knowledge representationSemanticsSensitivity analysisSocial network analysisSocial networkingSurveys and questionnairesWhat-if scenario

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal International Journal Of Environmental Research And Public Health due to its progression and the good impact it has achieved in recent years, according to the agency WoS (JCR), it has become a reference in its field. In the year of publication of the work, 2018, it was in position 67/186, thus managing to position itself as a Q2 (Segundo Cuartil), in the category Public, Environmental & Occupational Health. Notably, the journal is positioned en el Cuartil Q2 para la agencia Scopus (SJR) en la categoría Health, Toxicology and Mutagenesis.

From a relative perspective, and based on the normalized impact indicator calculated from the Field Citation Ratio (FCR) of the Dimensions source, it yields a value of: 1.47, which indicates that, compared to works in the same discipline and in the same year of publication, it ranks as a work cited above average. (source consulted: Dimensions Jul 2025)

Specifically, and according to different indexing agencies, this work has accumulated citations as of 2025-07-26, the following number of citations:

  • WoS: 4
  • Scopus: 7
  • Europe PMC: 2

Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2025-07-26:

  • The use, from an academic perspective evidenced by the Altmetric agency indicator referring to aggregations made by the personal bibliographic manager Mendeley, gives us a total of: 39.
  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 39 (PlumX).

With a more dissemination-oriented intent and targeting more general audiences, we can observe other more global scores such as:

  • The Total Score from Altmetric: 2.7.
  • The number of mentions on the social network X (formerly Twitter): 5 (Altmetric).

It is essential to present evidence supporting full alignment with institutional principles and guidelines on Open Science and the Conservation and Dissemination of Intellectual Heritage. A clear example of this is:

  • The work has been submitted to a journal whose editorial policy allows open Open Access publication.