Prediction methods and applications in the science of science: A survey
Science of science has become a popular topic that attracts great attentions from the
research community. The development of data analytics technologies and the readily …
research community. The development of data analytics technologies and the readily …
Using machine learning techniques for rising star prediction in co-author network
Online bibliographic databases are powerful resources for research in data mining and
social network analysis especially co-author networks. Predicting future rising stars is to find …
social network analysis especially co-author networks. Predicting future rising stars is to find …
Detecting rising stars in dynamic collaborative networks
In today's complex academic environment the process of performance evaluation of scholars
is becoming increasingly difficult. Evaluation committees often need to search in several …
is becoming increasingly difficult. Evaluation committees often need to search in several …
Prediction of rising stars in the game of cricket
Online social databases are rich sources to retrieve appropriate information that is
subsequently analyzed for forthcoming trends prediction. In this paper, we identify rising …
subsequently analyzed for forthcoming trends prediction. In this paper, we identify rising …
Using machine learning techniques for rising star prediction in basketball
Rising stars in any field are the persons that have the potential to become popular in near
future. Exploring rising stars in any organization will help the organization in their decisions …
future. Exploring rising stars in any organization will help the organization in their decisions …
An integrated solution for detecting rising technology stars in co-inventor networks
Online patent databases are powerful resources for tech mining and social network analysis
and, especially, identifying rising technology stars in co-inventor networks. However, it's …
and, especially, identifying rising technology stars in co-inventor networks. However, it's …
Temporal expertise profiling
We introduce the temporal expertise profiling task: identifying the skills and knowledge of an
individual and tracking how they change over time. To be able to capture and distinguish …
individual and tracking how they change over time. To be able to capture and distinguish …
Visinfo: a digital library system for time series research data based on exploratory search—a user-centered design approach
To this day, data-driven science is a widely accepted concept in the digital library (DL)
context (Hey et al. in The fourth paradigm: data-intensive scientific discovery. Microsoft …
context (Hey et al. in The fourth paradigm: data-intensive scientific discovery. Microsoft …
Finding rising stars in bibliometric networks
Finding rising stars (FRS) is a hot research topic investigated recently for diverse application
domains. These days, people are more interested in finding people who will become experts …
domains. These days, people are more interested in finding people who will become experts …
Content-based layouts for exploratory metadata search in scientific research data
Today's digital libraries (DLs) archive vast amounts of information in the form of text, videos,
images, data measurements, etc. User access to DL content can rely on similarity between …
images, data measurements, etc. User access to DL content can rely on similarity between …