Detection of Jihadism in Social Networks Using Big Data Techniques Supported by Graphs and Fuzzy Clustering
Social networks are being used by terrorist organizations to distribute messages with the intention of influencing people and recruiting new members. The research presented in this paper focuses on the analysis of Twitter messages to detect the leaders orchestrating terrorist networks and their foll...
Saved in:
Main Authors: | Cristina Sánchez-Rebollo, Cristina Puente, Rafael Palacios, Claudia Piriz, Juan P. Fuentes, Javier Jarauta |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2019-01-01
|
Series: | Complexity |
Online Access: | http://dx.doi.org/10.1155/2019/1238780 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A Novel Clustering Technique for Efficient Clustering of Big Data in Hadoop Ecosystem
by: Sunil Kumar, et al.
Published: (2019-12-01) -
Big Data Analytics: A Tutorial of Some Clustering Techniques
by: Said Baadel
Published: (2021-09-01) -
Relevansi jihad pada nilai-nilai kepemimpinan Rasulullah dengan jihad membela palestina dalam melawan peperangan Israel dalam qs. at-tahrim ayat 9 perspektif al-qurtubi pada tafsir al-jami' li ahkam Al-qur'an
by: Zaki Al-Amin Nasution, et al.
Published: (2024-10-01) -
Graph-Based Node Finding in Big Complex Contextual Social Graphs
by: Keshou Wu, et al.
Published: (2020-01-01) -
Estimating the Concrete Compressive Strength Using Hard Clustering and Fuzzy Clustering Based Regression Techniques
by: Naresh Kumar Nagwani, et al.
Published: (2014-01-01)