BDASNA2017: Big Data Analytics: A Social Network Approach |
Website | http://egyptscience.net/BDASNA2017/ |
Abstract registration deadline | February 15, 2017 |
Submission deadline | April 25, 2017 |
BDASNA2017 (Big Data Analytics: A Social Network Approach-2017) is a proposed Edited Book to be Published by CRC Press, Taylor and Francis Group.
Submission Guidelines
The popularity of social networking has dramatically increased in recent years that have led to a rise in the amount of data created daily. In order to deal with such a huge amount of data, the traditional software algorithm may not be found efficient, hence sought for a big data analysis. At the same time, there is enough scope for malicious users to attack the others through their social relationships, which poses a big challenge to be addressed nowadays by the researchers.
Based on the diversity and complexity of the social network research in the area of big data, one has to address the issues like how to perform the social network mining along with security measures.
This edited book solicits original and survey book chapters that are unpublished, with the following topics but not limited to:
- Social Network modeling with big data
- Complex Network / Network Science with big data
- Social Computing,
- Recommendation in big data
- Data Mining in big data
- Social media and Big Data,
- GraphTheory,
- Content Business, Data Business, ICT Business
- Data Visualization
- Social media big data for health
- Security aspects of social media in big data
- Big data for defense, intelligence and homeland security
- Cyber security in big data
- Geospatial bigdata analysis
- Crowdsourcing in big data
- IoT security in big data
Editors
- Mrutyunjaya Panda, Utkal University, India
- Ajith Abraham, Machine Intelligence Research Labs, USA
- Aboul Ella Hassanien, Cairo University, Egypt
Contact
All questions about submissions should be emailed to editors:
mrutyunjaya74@gmail.com
ajith.abraham@ieee.org
aboitcairo@gmail.com