Due to the significance of social networks, data mining and Internet of Things, presenting innovative algorithms becomes an increasingly important task. Always there is the need of information retrieval from the gathered data. Without appropriate attention to feature extraction, we are facing to tremendous amount of important data, and this issue lead to significant losses because of irregularity of our assets. In order to overcome this problem, it is important to have a good knowledge of the application domain, so that we can decide which are the best features. Therefore, there is a trade off between data management and data mining processes, whether on social networks or other platforms.
As we are living in a period of digitization and data innovation is dynamically developing, we are utilizing sites like Facebook, LinkedIn, Twitter, Instagram, Snapchat and so on. Social network is an expression that we use around very much nowadays, frequently to depict what we post on locales and applications like Facebook, Twitter and so on. The term is utilized so ambiguously that it can essentially be utilized to depict practically any site on the web today.
There is a positive and negative effect of social networks on society. Social network has upset the manner in which individuals convey and associate on the web. There is a beneficial outcome on business, governmental issues, socialization just as some negative impacts, for example, cyberbullying, security, and phony news.
This special issue contains papers on Social network analysis, neural networks, algorithms, MRI, grouping, pattern recognition technics, feature extraction, Internet of Things, Electronic and power solutions.
The guest editors are grateful to various authors who have made significant contributions and could present their papers on IJNCSPS. The guest editors are also grateful to several reviewers for their comments and suggestions which helped in improving the quality of the papers and also we acknowledge their kind support and help in bringing out this special issue. We hope that this issue makes significant contributions in the fields of Social network analysis, feature extraction, and Internet of Things.