The four dimensions of social network analysis: An overview of research methods, applications, and software tools
| Autor: | Antonio Gonzalez-Pardo, Erik Cambria, Gema Bello-Orgaz, Ángel Panizo-LLedot, David Camacho |
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| Rok vydání: | 2020 |
| Předmět: |
FOS: Computer and information sciences
Computer Science - Machine Learning Computer science 02 engineering and technology Machine Learning (cs.LG) Set (abstract data type) Computer Science - Computers and Society Software Knowledge extraction Application domain Computers and Society (cs.CY) 0202 electrical engineering electronic engineering information engineering Social network analysis Social and Information Networks (cs.SI) Social network business.industry Computer Science - Social and Information Networks 020206 networking & telecommunications Data science Visualization Hardware and Architecture Signal Processing Scalability 020201 artificial intelligence & image processing business Information Systems |
| Zdroj: | Information Fusion. 63:88-120 |
| ISSN: | 1566-2535 |
| DOI: | 10.1016/j.inffus.2020.05.009 |
| Popis: | Social network based applications have experienced exponential growth in recent years. One of the reasons for this rise is that this application domain offers a particularly fertile place to test and develop the most advanced computational techniques to extract valuable information from the Web. The main contribution of this work is three-fold: (1) we provide an up-to-date literature review of the state of the art on social network analysis (SNA);(2) we propose a set of new metrics based on four essential features (or dimensions) in SNA; (3) finally, we provide a quantitative analysis of a set of popular SNA tools and frameworks. We have also performed a scientometric study to detect the most active research areas and application domains in this area. This work proposes the definition of four different dimensions, namely Pattern & Knowledge discovery, Information Fusion & Integration, Scalability, and Visualization, which are used to define a set of new metrics (termed degrees) in order to evaluate the different software tools and frameworks of SNA (a set of 20 SNA-software tools are analyzed and ranked following previous metrics). These dimensions, together with the defined degrees, allow evaluating and measure the maturity of social network technologies, looking for both a quantitative assessment of them, as to shed light to the challenges and future trends in this active area. This paper is currently under evaluation in Information Fusion journal |
| Databáze: | OpenAIRE |
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