The discovery of influential entities in all kinds of networks (eg, social, digital, or computer)
has always been an important field of study. In recent years, Online Social Networks (OSNs) …

This paper shows data science's potential for disruptive innovation in science, industry,
policy, and people's lives. We present how data science impacts science and society at …

A high percentage of information that propagates through a social network is sourced from
different exogenous sources. Eg, individuals may form their opinions about products based …

Motivated by the problem of detection of cascades of defaults in economy, we developed a
detection framework for an endogenous spreading based on causal motifs we define in this …

Information propagation in online social networks is facilitated by two types of influence-
endogenous (peer) influence that acts between users of the social network and exogenous …

Sažetak The role of the network in the systemic risk propagation is investigated from two
different perspectives, one being the detection of the default propagation from available data …