The present study focuses on the online debate surrounding the Brexit process, five and a half years after the historic referendum that sanctioned the United Kingdom's exit from the European Union. The contentious and polarising nature of the debate, with passionate arguments and little room for compromise or consensus, make it an intriguing case for examination. In our analysis, to explore...
While the online behaviour of organised hate groups has been extensively studied, only recently has attention focused on the behaviour of individuals that produce hate speech on mainstream platforms. One of the most relevant targets of online hating is women. To identify and analyse producers of derogatory, offensive, insulting, denigrating content towards women, we will focus on content...
Every year, more and more companies decide to support sporting, musical, and gastronomic events, enabling them to establish long-term relationships or strengthen existing collaborations. In this contribution, we randomly chose three events (Eurovision Song Contest, European Aquatics Championships, and Cous Cous Fest) that took place in three Italian regions in 2022. The existing relationships...
The present research work is framed within the theoretical framework of Science and Technology Studies. In general, the aim is to analyze how science can influence and solve social problems, and in particular, how scientific communication during the Covid-19 health emergency has impacted on public opinion and been politicized.
The study is built starting from the analysis of a substantial...
Social media are increasingly becoming a meeting place for society, where information is shared and where public discussions and debates take place. Studying discussions on social media platforms such as Twitter can provide insights into the role played by social media in modern societies, and network analysis provides powerful tools to investigate the structures that comprise online groups...
Organizational contexts are places characterized by a set of relationships that individuals build during their work activities. These relationships and interactions contribute to the creation and development of organizational culture, understood as the set of values, ideas and implicit knowledge that influence and determine the way in which the surrounding environment is perceived. The aim of...
Recently, the research on blockmodeling has seen the development on a sprawling literature on networks representing relations between units in two or more time periods (so-called dynamic or temporal networks). Crucially, the literature offers several techniques to blockmodel such networks which vary in important ways (e.g., the definition of the network, modeling of temporal dependency). In...
The men’s football transfer market represents a complex phenomenon requiring suitable methods for an in-depth study. Network Analysis may be employed to measure the key elements of the transfer market through network indicators, such as degree centrality, hub and authority scores and betweenness centrality. Furthermore, community detection methods can be proposed to unveil unobservable...
Sustainable development is a compelling need that commits society to adopt tools for implementing and managing interventions across three macro areas: social, economic, and environmental. Within this context, international programs, such as the UN 2030 Agenda, provide a roadmap for achieving sustainability. States must work towards sustainability by integrating all relevant fields, recognizing...
The concept of "working in a network" or "networking" has been spreading for years in the business world. Companies have understood that in order to survive and achieve economic success, it is necessary to abandon individualistic mechanisms and open up to systems of interaction between organizations. The transformation of markets and innovation have led companies to develop relationships in...
We introduce a new approach that unifies models for multivariate time series with the Latent Position model (LPM) to model networks from count data. The proposed model provides a hierarchical framework with the Poisson processes. Our framework consists of two well-known models: the log-linear vector autoregressive (VAR) model prominent in the literature of multivariate count time series and...
Opinion dynamics models building upon assimilation to others’ opinions (positive influence) as a core mechanism fail to explain opinion polarization – the tendency of a group to fall apart into opposing camps with increasing disagreement. Scholars have proposed negative influence as an additional mechanism: distancing from the opinion of a discrepant source. However, empirical evidence for...
