Networks are useful for representing phenomena in a broad range of domains. Although
their ability to represent complexity can be a virtue, it is sometimes useful to focus on a …

WhatsApp emerged as a major communication platform in many countries in the recent
years. Despite offering only one-to-one and small group conversations, WhatsApp has been …

We use aggregated and anonymized information based on international expenditures
through corporate payment cards to map the network of global business travel. We combine …

Recent empirical evidence has shown that in many real-world systems, successfully
represented as networks, interactions are not limited to dyads, but often involve three or …

Wireless sensor networks (WSN) are important communication components of an internet of
things (IoT). With the development of IoT and the increasing number of connected devices …

As individuals specialize in specific knowledge areas, a society's know-how becomes
distributed across different workers. To use this distributed know-how, workers must be …

Instagram has been increasingly used as a source of information especially among the
youth. As a result, political figures now leverage the platform to spread opinions and political …

Network science is the field dedicated to the investigation and analysis of complex systems
via their representations as networks. We normally model such networks as graphs: sets of …

Collective user behavior in social media applications often drives several important online
and offline phenomena linked to the spread of opinions and information. Several studies …

The increasing availability of data demands for techniques to filter information in large
complex networks of interactions. A number of approaches have been proposed to extract …