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Exploration Metrics Based on Scientific Mapping in the Use of Social Networks and Politics 2.0

Abstract:

The data exploration metrics through scientific mapping aim to find out the level of interest in social networks and politics 2.0 within the scientific community worldwide; the development of literary production in times of pandemic to which research is limited; the creation of both research and review articles sectioned by countries, authors, and keywords within the search carried out in the Scopus database. In the first instance, an analysis of the scientific literature is carried out in the primary citation index that is used worldwide to measure high-impact scientific production, such as Scopus; a total of 139,710 jobs were obtained, which were filtered only in the years of the COVID-19 pandemic, resulting in several jobs of 17,049. The results that could be analyzed through scientific mapping showed that scientific production increased in the keyword social networks (online) with several authors who mostly belong to developed and English-speaking countries; Mexico is the only country in Latin America within the results obtained through the maps. Finally, the analysis of the clusters relates keywords such as social networks, machine learning, and big data; within the systematic review, there are still no studies related to politics 2.0; therefore, it is concluded that the political keyword 2.0 still has no connection in terms of high-impact scientific production.