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 …

Background: Social networking sites (SNSs) have become a pervasive part of modern
culture, which may also affect mental health. Objective: The aim of this systematic review …

This paper provides an overview of recent developments in big data in the context of
biomedical and health informatics. It outlines the key characteristics of big data and how …

Natural language processing (NLP) techniques can be used to make inferences about
peoples' mental states from what they write on Facebook, Twitter and other social media …

Effective engineering of the Internet is predicated upon a detailed understanding of issues
such as the large-scale structure of its underlying physical topology, the manner in which it …

Uncovering the structure of socioeconomic systems and timely estimation of socioeconomic
status are significant for economic development. The understanding of socioeconomic …

Objective: Suicide is a growing public health concern with a global prevalence of
approximately 800,000 deaths per year. The current process of evaluating suicide risk is …

Background: Suicide is a leading cause of death worldwide. Identifying those at risk and
delivering timely interventions is challenging. Social media site Twitter is used to express …

Background Frequent expression of negative emotion words on social media has been
linked to depression. However, metrics have relied on average values, not dynamic …

Opinion mining techniques, investigating if text is expressing a positive or negative opinion,
continuously gain in popularity, attracting the attention of many scientists from different …