Along with the development of information technologies such as mobile Internet, information
acquisition technology, cloud computing and big data technology, the traditional knowledge …

The rapidly develo** internet and other media have produced a tremendous amount of
text data, making it a challenging and valuable task to find a more effective way to analyze …

Cybersecurity experts have appraised the total global cost of malicious hacking activities to
be $450 billion annually. Cyber Threat Intelligence (CTI) has emerged as a viable approach …

Peak clustering, a density based clustering method, has shown remarkable performance in
clustering analysis of data. In reality, peak clustering suffers from two major drawbacks:(i) …

COVID-19 vaccines have been largely debated by the press. To understand how
mainstream and alternative media debated vaccines, we introduce a paradigm …

Currently, there is a large amount of text being shared through the Internet. These texts are
available in different forms—structured, unstructured and semi structured. There are different …

Most community detection algorithms require the global information of the networks.
However, for large scale complex networks, the global information is often expensive and …

Community structure is an important characteristic of complex networks. It determines where
important functions of a network are located. Recently, discovering community structure in …

Mindset reconstruction maps how individuals structure and perceive knowledge, a map
unfolded here by investigating language and its cognitive reflection in the human mind, ie …

Word co-occurrence networks have been employed to analyze texts both in the practical and
theoretical scenarios. Despite the relative success in several applications, traditional co …