The process of opinion formation and evolution is an important part of the study of opinion
dynamics. However, the existing opinion dynamics ignore the relationship between opinion …

Uncovering the underlying community structure of a social network is an important task in
social network analysis. To solve this problem, many community detection algorithms for the …

Considering the ever-increasing size and complexity of social networks, developing
methods to extract meaningful knowledge and information from users' vast amounts of data …

Abstract In modern Online Social Networks (OSNs), the need to detect users' communities
based on their interests and social connections has became a more and more important …

The community structure is a collection of individuals with common characteristics that
commonly exists in complex networks. The detection of community structures aids in mining …

Link prediction is an important task in complex network analysis and can be found in many
real-world applications such as recommendation systems, information retrieval, and …

Identifying influential nodes in complex networks is still an open issue. A number of
measures have been proposed to improve the validity and accuracy of the influential nodes …

Causal feature selection has achieved much attention in recent years, which discovers a
Markov boundary (MB) of the class attribute. The MB of the class attribute implies local …

Unlabeled data processing is of great significance for artificial intelligence (AI), since well-
structured labeled data are scarce in a majority of practical applications due to the high cost …

Urban resilience is the key to comprehensively advancing China's urbanization process.
Urban resilience assessment is a necessary way to monitor the current state of urban …