HeteroRWR: A Novel Algorithm for Top-k Co-Author Recommendation with Fusion of Citation Networks

Published 2020 View Full Article

  1. Home
  2. Publications
  3. Publication Search
  4. Publication Details
Title
HeteroRWR: A Novel Algorithm for Top-k Co-Author Recommendation with Fusion of Citation Networks
Authors
Keywords
-
Journal
IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS
Volume E103.D, Issue 1, Pages 71-84
Publisher
Institute of Electronics, Information and Communications Engineers (IEICE)
Online
2020-01-01
DOI
10.1587/transinf.2019edp7108

Ask authors/readers for more resources

Protocol

Community support

Reagent

Community support

Reprint

Contact the author

Create your own webinar

Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.

Create Now

Become a Peeref-certified reviewer

The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.

Get Started
Webinars Posters Questions Hubs Funding Journals Articles Connect Collections Reviewers About Us FAQs Mobile App Privacy Policy Terms of Use
© Peeref 2019-2024. All rights reserved.