Contact
How to shop
Delivery
Shopping guide
Matrix Factorization Framework for Overlapping Community Detection
Modeling the Relationship between Links and Communities
English
130 b
30-day return policy
Customers also purchased
/
Paperback
7 474
Ft
/
Hardback
21 968
Ft
/
Paperback
7 561
Ft
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.
About the book
English
Give this book today
It's easy
1 Add to cart and choose Deliver as present at the checkout 2 We'll send you a voucher 3 The book will arrive at the recipient's addressYou might also be interested in
/
Hardback
5 583
Ft
/
Paperback
3 282
Ft
/
Hardback
22 763
Ft
/
Paperback
10 727
Ft
/
Hardback
13 177
Ft
Hi! I'm Libroamiko, your book advisor.
How can I help you?