The ongoing rapid expansion of the Word Wide Web (WWW) greatly increases the
information of effective transmission from heterogeneous individuals to various systems …

Online social networks provide an opportunity to spread messages and news fast and
widely. One may appreciate the quick spread of legitimate news and messages but …

Society is often polarized by controversial issues that split the population into groups with
opposing views. When such issues emerge on social media, we often observe the creation …

With the great success of graph embedding model on both academic and industry area, the
robustness of graph embedding against adversarial attack inevitably becomes a central …

The study of network robustness is a critical tool in the characterization and sense making of
complex interconnected systems such as infrastructure, communication and social networks …

Abstract Graph Convolutional Networks (GCNs) are promising deep learning approaches in
learning representations for graph-structured data. Despite the proliferation of such …

This paper studies a distributed coordinated control problem for a class of linear multi‐agent
systems subject to two types of attacks. The problem boils down to how to achieve secure …

How much has a network changed since yesterday? How different is the wiring of Bob's
brain (a left-handed male) and Alice's brain (a right-handed female), and how is it different …

We study allocation of COVID-19 vaccines to individuals based on the structural properties
of their underlying social contact network. Even optimistic estimates suggest that most …

How can we optimize the topology of a networked system to bring a flu under control, propel
a video to popularity, or stifle a network malware in its infancy? Previous work on information …