Over the past few years, the number and volume of data sources in healthcare databases
has grown exponentially. Analyzing these voluminous medical data is both opportunity and …

In recent years, significant advances have been made in the design and analysis of fully
dynamic algorithms. However, these theoretical results have received very little attention …

Topic-based communities have gradually become a considerable medium for netizens to
disseminate and acquire knowledge. These communities consist of entities (actual objects …

Community partition is an important problem in many areas, such as biology networks and
social networks. The objective of this problem is to analyze the relationships among data via …

The generalization capability of machine learning models, which refers to generalizing the
knowledge for an “unseen” domain via learning from one or multiple seen domain (s), is of …

Dynamic (temporal) graphs are a convenient mathematical abstraction for many practical
complex systems including social contacts, business transactions, and computer …

Temporal networks are ubiquitous in nature and society, and tracking the dynamics of
networks is fundamental for investigating the mechanisms of systems. Dynamic communities …

Vehicle groups that are composed of autonomous vehicles can increase the perception
range of vehicles, and their dynamic evolution can provide guidance for the operation of …

These days, there are many types of complex networks that understanding the topology and
functions of them allows us to derive valuable information from these networks. In this …

Maximizing the influence of opinions is an emerging research topic in social networks.
Although the community is a key structure of social networks, little effort has been made to …