Centrality is one of the most studied concepts in social network analysis. There is a huge
literature regarding centrality measures, as ways to identify the most relevant users in a …

In recent years, decision makers have reported difficulties in the use of official statistics in
public policy: excessively long publication delays, insufficient coverage of topics of interest …

The social media influence (SMI) has become one of the most important issues in politics,
protests, diplomacy, tourism and so on. Lately, researchers have done their work, using …

Directed links in social media determine the flow of information and, hence, indicate a user's
influence. This paper proposes a novel visual framework to explore Twitter's 'Who Follows …

Context: Social Media Influence (SMI) constitutes a marketing term resulting from the
integration of social media in the strategies planification, that describes the Social Media …

This paper investigates the feasibility, from a user perspective, of integrating a
heterogeneous information network mining (HINM) technique into SensePlace3 (SP3), a …

Nowadays, the use of Social Media networks is growing endlessly and rapidly, those
networks have become a substantial pool for unstructured data. Social media influence …

This paper advances the state-of-the-art in methodology design for empirical evaluation of
(geo) visual analytics software. Specifically, we describe the process of design, development …

Esta tesis tiene el propósito de brindar un análisis exhaustivo de datos turísticos
provenientes de redes sociales, desde el campo de la ciencia de datos y la inteligencia …

La tecnología está presente prácticamente en todos dominios de investigación y en la vida
cotidiana de gran parte de la población, que la utiliza a través de sus computadoras …