Data for: How to Evaluate Rankings of Academic Entities using Test Data

Name: Data for: How to Evaluate Rankings of Academic Entities using Test Data
Creator: Marcel Dunaiski
Published: 2018-06-19T23:12:53.957Z
Keywords: Computer Science, Information Retrieval

Dunaiski, Marcel

doi:10.17632/4d46zncg4k.1

Data for: How to Evaluate Rankings of Academic Entities using Test Data

Published: 19 June 2018| Version 1 | DOI: 10.17632/4d46zncg4k.1

Contributor:

Marcel Dunaiski

Description

This data consists of four test data sets consisting of academic entities (authors and papers) that have won various awards. Ranks of various ranking algorithms are given for each entity computed on two publication databases (Microsoft Academic Graph and ACM Digital Library). Test data sets: (1) acm fellows, (2) long time contribution awards for researchers, (3) best paper awards, and (4) high-impact papers.

Data for: How to Evaluate Rankings of Academic Entities using Test Data

Description

Files

Categories

Licence