With the rapid advancement of information technology, software risk assessment plays an
increasingly important role in ensuring the stability and security of information systems. The …

Identifying influential nodes in complex networks is a significant issue in analyzing the
spreading dynamics in networks. Many existing methods focus only on local or global …

As the number of social network users grows exponentially with increasingly complex
profiles, community detection algorithms play a critical role in user portrait analysis. The …

Identifying influential nodes is a very hot and challenging issue in the field of complex
system and network. A great deal of algorithms have been developed to address the …

Simplicial complexes successfully resolve the limitation of social networks to describe the
spread of infectious diseases in group interactions. However, the effects of quarantines in …

The rapid development of community detection algorithms, while serving users in social
networks, also brings about certain privacy problems. In this work, we study community …

Assessing the importance of spreaders in networks is crucial for investigating the survival
and robustness of networks. There are numerous potential applications, such as preventing …

The inferring of source in the aftermath of a pandemic outbreak has received immense
attention due to its substantial practical potential. In light of the inaccessibility to the status of …

The influence of the node refers to the ability of the node to disseminate information. The
faster and wider the node spreads, the greater its influence. There are many classical …

Identifying the transmission source based on network topology is of great significance for
timely blocking migration from epidemic areas. To date, several sensor-based works have …