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 now-a-days by the researchers.

Topics of interest include, but are not limited to, the following

 Social Network modeling with big data

 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,

 Graph Theory,

 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 secuirty in big data


Submission Format and Guideline

All submitted papers must be clearly written in excellent English and contain only original work, which has not been published by or is currently under review for any other journal or conference. Papers must not exceed 25 pages. The chapters should not contain any plagiarism. All papers will be peer-reviewed by at least three independent reviewers. Requests for additional information should be addressed to the guest editors.

Submission through easychair;track=183969#{fr:B9otzWSZxlV1}

Publication Schedule

The tentative schedule of the book publication is as follows:

 Deadline for chapter  submission:  October 30, 2017

First round notification :  Nov.  15     2017

Camera-ready submission:  Dec. 1  2017

Publication date: 1st  quarter of 2018

Chapter Guidelines