Graph theory (GT) concepts are potentially applicable in the field of computer science (CS)
for many purposes. The unique applications of GT in the CS field such as clustering of web …

Public opinion on autonomous vehicles (AVs) is an important topic as AVs are expected to
change the transportation system dramatically. Although the topic has been discussed …

This work presents a framework for studying temporal networks using zigzag persistence, a
tool from the field of Topological Data Analysis (TDA). The resulting approach is general and …

The increasing complexity of today's software requires the contribution of thousands of
developers. This complex collaboration structure makes developers more likely to introduce …

Partitioning a dynamic network into subsets (ie, snapshots) based on disjoint time intervals
is a widely used technique for understanding how structural patterns of the network evolve …

There is a number of studies, in which it is established that the observed flows of microposts
generated by microblogging social networks (eg, Twitter) are characterized by avalanche …

Despite the robust structure of the Internet, it is still susceptible to disruptive routing updates
that prevent network traffic from reaching its destination. Our research shows that BGP …

In the last decade, fuzzy community detection has received increasing attention, since it
cannot only uncover the community structure of a network, but also reflect the membership …

Event detection is a popular research problem aiming to detect events from various data
sources, such as news texts, social media postings or social interaction patterns. In this …

Fuzzy community detection (FCD) aims to reveal the community structure by allocating
quantitative values to nodes across different communities. This article proposes a fast FCD …