Structure, Property, and Dynamics of Scientific Networks

Abstract

A scientific network captures the interrelationships among entities involved in research activities, often constructed using large-scale databases such as the Web of Science, Scopus, and Semantic Scholar. By regaining legal access through the international collaborations, the Web of Science once again serves as the primary database for our work. We presently are engaged in over ten projects, both domestic and international, in this domain. This talk, however, focuses only on ongoing and upcoming collaborative efforts within the NBDA research group as requested. In specific, we explore three primary research topics: (1) the subject landscape and topic clusters through interdisciplinary citations; (2) entity diversity analysis within networks, examining its implications for scientific networks; and (3) the use of hypergraphs for the analysis of scientific collaborations and keyword collaborations. Finally, we present a projected research plan outlining key milestones for the upcoming year. These works are the joint works with Dr. Chen-Hsiang Yeang (co-PI), Dr. Wei-Chung Liu (co-PI), Ms. Tzu-Yin Chen (NTU doctoral student), Mr. Wei-Chu Chiang (ISSAS master-level RA), Dr. Chao-Hui Huang (ISSAS postdoc), and Mr. Tim Kurt (ZIB doctoral exchange student through TIGP-X).

線上視訊請點選連結