Quantifying the Emergence of New Domains: Using Cybersecurity as a Case
One of the learning tasks which play central roles in the knowledge discovery field is to understand the content of a corpus such that one can efficiently understand the potential knowledge of data texts. Moreover, the availability of various big scholarly data enables us to develop methods for digging deep into the generation of new domains. In this paper, especially, we take cybersecurity disciplinary as an example, collect the relevant data from Microsoft Academic, and then extract the citation and reference relations among different domains. We further propose the domain-derived space, representing the inspiration relations for the emergence domains, by identifying the emergence of domains and the significant derived relations. In the context of the developed domain-derived space, we develop methods to study the growth of domains as well as the characteristics of its ancestral domains. The results reveal the dissipation of the interdisciplinary effect and the importance of a domain in its early stage for the emergence of new domains. These studies quantitatively analyze the trends and impact factors of domain derivation, providing a new research and forecast path for knowledge discovery.
KeywordsDomain-derived space Cybersecurity Knowledge discovery
This work is supported by the National Natural Science Foundation of China grants 61502333, 61572350, 61672377.
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