COVID-19 has severely impacted the higher education sector. Early institutional responses
have been diverse, ranging from minimal changes to full digitalization of curriculum. This …

Affective, emotional, and physiological states (AFFECT) detection and recognition by
capturing human signals is a fast-growing area, which has been applied across numerous …

Most research on influence maximization focuses on the network structure features of the
diffusion process but lacks the consideration of multi-dimensional characteristics. This paper …

In this paper, we provide a sentiment analysis of the Twitter discussion on the 2016 Austrian
presidential elections. In particular, we extracted and analyzed a data-set consisting of …

When public health emergencies occur, relevant information containing different topics,
sentiments, and emotions spread rapidly on social media. From the cognitive and emotional …

Mobile social networks (MSNs) provide real-time information services to individuals in social
communities through mobile devices. However, due to their high openness and autonomy …

The concept of scope was introduced in Social Network Analysis to assess the
authoritativeness and convincing ability of a user toward other users on one or more social …

False rumors are known to have detrimental effects on society. To prevent the spread of
false rumors, social media platforms such as Twitter must detect them early. In this work, we …

This paper applies Information and Communication Technologies (ICT) as well as data
analysis to gain a better understanding of the existing perception on the education system …

The growth of social media and the people interconnection led to the digitalization of
communication. Nowadays the most influential politicians or scientific communicators use …