Tracked shipping to Austria with premium packaging for just 3,99 € 

Ship to
Austria
0

My Account

  • argentina
  • chile
  • colombia
  • españa
  • méxico
  • perú
  • estados unidos
  • internacional

menu

Select your country

Americas

Europe

Rest of the world

portada Matrix Factorization Framework for Overlapping Community Detection: Modeling the Relationship between Links and Communities (Paperback)
Type
Physical Book
Publisher
Author
Language
English
Pages
112
Format
Paperback
ISBN13
9786139894772

Matrix Factorization Framework for Overlapping Community Detection: Modeling the Relationship between Links and Communities (Paperback)

Hongyi Zhang Irwin King Micheal R. Lyu (Author) · LAP Lambert Academic Publishing, Germany · Paperback

Matrix Factorization Framework for Overlapping Community Detection: Modeling the Relationship between Links and Communities (Paperback) - Hongyi Zhang Irwin King Micheal R. Lyu

New Book Imported to Austria
Delivery: 15 Jul - 17 Jul Shipping: 12 to 13 business days.
60,26 €
Import costs and 10% VAT included in the price ✅
60,26 €

Choose the list to add your product or create one New List

Go to My Wishlists
Calculate shipping cost

Synopsis "Matrix Factorization Framework for Overlapping Community Detection: Modeling the Relationship between Links and Communities (Paperback) "

Community detection is an important line of research in understanding complex networks. In many real-world networks, communities naturally overlap since a node usually has multiple community memberships, which makes overlapping community detection a trend in recent years. One popular technique to cope with overlapping community detection is matrix factorization (MF). In this book, we review existing models in matrix factorization framework for overlapping community detection and propose four novel models to explore the relationship between links and communities. By evaluate our proposed models on several real-world networks including large ones with ground-truth communities, we show that our models outperform state-of-the-art approaches on multiple measurements and are capable of finding overlapping communities with better quality. This book should be especially useful to researchers focusing on community detection, or anyone else who is interested in social networks.

Customers reviews

More customer reviews
  • 0% (0)
  • 0% (0)
  • 0% (0)
  • 0% (0)
  • 0% (0)

Frequently Asked Questions about the Book

Is the book original?

All books in our catalog are Original.

In what language is the book written?

The book is written in English.

What is the format of this book?

The binding of this edition is Paperback.

Questions and Answers about the Book

Do you have a question about the book? Login to be able to add your own question.

Opinions about Bookdelivery

More customer reviews