Technology has become profoundly integrated into modern society; however, this increases the risk of vulnerabilities, such
as hacking and other system errors, along with other online threats. Security, Privacy, and Anonymization in Social Networks:
Emerging Research and Opportunities is a pivotal reference source for the most up-to-date research on edge clustering models
and weighted social networks. Presenting widespread coverage across a range of applicable perspectives and topics, such as
neighborhood attacks, fast k-degree anonymization (FKDA), and vertex-clustering algorithms, this book is ideally designed
for academics, researchers, post-graduates, and practitioners seeking current research on undirected networks and greedy algorithms
for social network anonymization.