Link prediction in complex networks has attracted increasing attention from both physical and
computer science communities. The algorithms can be used to extract missing information, …

Recommender systems use data on past user preferences to predict possible future likes and
interests. A key challenge is that while the most useful individual recommendations are to …

Due to its advantages such as ubiquity and immediacy, mobile banking has attracted traditional
banks’ interests. However, a survey report showed that user adoption of mobile banking …

Objectives To estimate the basic reproduction number of the Wuhan novel coronavirus (2019‐nCoV).
Methods Based on the susceptible‐exposed‐infected‐removed (SEIR) …

One-mode projecting is extensively used to compress bipartite networks. Since one-mode
projection is always less informative than the bipartite representation, a proper weighting …

Finding pertinent information is not limited to search engines. Online communities can
amplify the influence of a small number of power users for the benefit of all other users. Users' …

Humans rely increasingly on sensors to address grand challenges and to improve quality of
life in the era of digitalization and big data. For ubiquitous sensing, flexible sensors are …

There is an increasing need for high-permittivity (high-k) materials due to rapid development
of electrical/electronic industry. It is well-known that single composition materials cannot …

Coronavirus Disease 2019 (COVID-19) spread globally in early 2020, causing the world to
face an existential health crisis. Automated detection of lung infections from computed …

Missing link prediction in networks is of both theoretical interest and practical significance in
modern science. In this paper, we empirically investigate a simple framework of link …