Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Mastering Concurrency Programming with Java 8

You're reading from   Mastering Concurrency Programming with Java 8 Master the principles and techniques of multithreaded programming with the Java 8 Concurrency API

Arrow left icon
Product type Paperback
Published in Feb 2016
Publisher Packt
ISBN-13 9781785886126
Length 430 pages
Edition 1st Edition
Languages
Concepts
Arrow right icon
Author (1):
Arrow left icon
Javier Fernández González Javier Fernández González
Author Profile Icon Javier Fernández González
Javier Fernández González
Arrow right icon
View More author details
Toc

Table of Contents (13) Chapters Close

Preface 1. The First Step – Concurrency Design Principles 2. Managing Lots of Threads – Executors FREE CHAPTER 3. Getting the Maximum from Executors 4. Getting Data from the Tasks – The Callable and Future Interfaces 5. Running Tasks Divided into Phases – The Phaser Class 6. Optimizing Divide and Conquer Solutions – The Fork/Join Framework 7. Processing Massive Datasets with Parallel Streams – The Map and Reduce Model 8. Processing Massive Datasets with Parallel Streams – The Map and Collect Model 9. Diving into Concurrent Data Structures and Synchronization Utilities 10. Integration of Fragments and Implementation of Alternatives 11. Testing and Monitoring Concurrent Applications Index

The third example – common contacts in a social network


Social networks are transforming our society and the way people relate to each other. Fackebook, Linkedin, Twitter, or Instagram have millions of users who use these networks to share life moments with their friends, make new professional contacts, promote their professional brand, meet new people, or simply know the latest trends in the world.

We can see a social network as a graph where users are the nodes of the graph and relations between users are the arcs of the graph. As occurs with graphs, there are social networks such as Facebook, where relations between users are undirected or bidirectional. If user A is connected with user B, user B is connected with A too. On the contrary, there are social networks such as Twitter where relations between users are directed. We say in this case that user A follows user B, but the contrary is not necessarily true.

In this section, we are going to implement an algorithm to calculate the common...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime
Banner background image