With more and more data generated, it has become a big challenge for traditional
architectures and infrastructures to process large amounts of data within an acceptable time …

Context: Big data has become the new buzzword in the information and communication
technology industry. Researchers and major corporations are looking into big data …

Social media has both been hailed for enabling social movements and critiqued for its
affordances as a surveillance infrastructure. In this work, I focus on the latter by analyzing …

The COVID-19 epidemic has changed the world dramatically since societies are changing
their behaviour according to the new normal, which comes along with numerous challenges …

Clustering is used to extract hidden patterns and similar groups from data. Therefore,
clustering as a method of unsupervised learning is a crucial technique for big data analysis …

Advancement in the latest technology has made researchers to generate data at a faster
pace and collect the data in an efficient manner. Prior to the invention of computers, data …

Societal security has been receiving unprecedented attention over the past decade because
of the ubiquity of online public data sources. Much research effort has been taken to detect …

Civil unrest events (protests, strikes, and “occupy” events) are common occurrences in both
democracies and authoritarian regimes. The study of civil unrest is a key topic for political …

The COVID-19 epidemic has changed the world dramatically as societies adjust their
behaviour to meet the challenges and uncertainties of the new normal. These uncertainties …

This paper leverages open source “big data” intelligence to develop predictive models that
can provide timely, relevant and accurate indications, warning, and tracking of migration …