The ranking of network node importance is one of the most essential problems in the field of
network science. Node ranking algorithms serve as an essential part in many application …

In informetrics, journals have been used as a standard unit to analyze research impact,
productivity, and scholarship. The increasing practice of interdisciplinary research …

In this paper, we target at four specific recommendation tasks in the academic environment:
the recommendation for author coauthorships, paper citation recommendation for authors …

In recent years, many studies have been focusing on predicting the scientific impact of
research papers. Most of these predictions are based on citations count or rely on features …

Automated author ranking mechanism in a given research domain has key applications like
automatic faculty selection in an institution, selection of outstanding researcher in a …

With the field of scholarly big data rising gradually, researchers have shown an increased
interest in the study of academic careers and achievements. Although the massive academic …

Essays on Network Theory: Diffusion, Link Analysis, and Hypergraph Learning Shatian Wang
Submitted in partial fulfillment of the Page 1 Essays on Network Theory: Diffusion, Link Analysis …

This paper studies the citation-based knowledge flows among research elements such as
researcher, paper, publication venue and research topic. The knowledge flow networks …

Topic modeling has emerged as a popular learning technique not only in mining text
representations, but also in modeling authors' interests and influence, as well as predicting …

In this paper, we target at four specific recommendation tasks in the academic environment:
the recommendation for author coauthorships, paper citation recommendation for authors …