Open Source Intelligence and Cyber Crime: Social Media Analytics (1st ed. 2020) (Lecture Notes in Social Networks)

By: and and

Sign Up Now! Already a Member? Log In
You must be logged into Bookshare to access this title. Learn about membership options, or view our freely available titles.

Synopsis
This book shows how open source intelligence can be a powerful tool for combating crime by linking local and global patterns to help understand how criminal activities are connected. Readers will encounter the latest advances in cutting-edge data mining, machine learning and predictive analytics combined with natural language processing and social network analysis to detect, disrupt, and neutralize cyber and physical threats. Chapters contain state-of-the-art social media analytics and open source intelligence research trends. This multidisciplinary volume will appeal to students, researchers, and professionals working in the fields of open source intelligence, cyber crime and social network analytics. Chapter Automated Text Analysis for Intelligence Purposes: A Psychological Operations Case Study is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Copyright:
2020

Book Details

Book Quality:
Publisher Quality
ISBN-13:
9783030412517
Related ISBNs:
9783030412500
Publisher:
Springer International Publishing
Date of Addition:
Copyrighted By:
Springer
Adult content:
No
Language:
English
Has Image Descriptions:
No
Categories:
Nonfiction, Science, Computers and Internet, Technology, Social Studies
Submitted By:
Bookshare Staff
Usage Restrictions:
This is a copyrighted book.
Edited by:
David B. Skillicorn
Edited by:
Uwe Glässer
Edited by:
Mohammad A. Tayebi

Reviews

No Rating Yet