Social media platforms have many users who share their thoughts and use these platforms
to organize various events collectively. However, different upsetting incidents have occurred …

Text Mining which is known as text analysis, is defined as the process to extract the proper
text patterns from the unstructured text data, which are collected from different written …

In recent years, controllability on complex networks has become one of the most important
issues among researchers. This study addresses the problem of controllability on an event …

The latest trend of sharing information has evolved many concerns for the current
researchers, which are working on computational social sciences. Online social network …

Online social networks are being used to express and freely communicate the information.
Some of the popular social networking sites (SNS) used for this purpose are Facebook …

Social Networking has dominated the whole world by providing a platform of information
dissemination. Usually people share information without knowing its truthfulness. Nowadays …

The abundance of user generated content on social media provides the opportunity to build
models that are able to accurately and effectively extract, mine and predict users' interests …

In modern times, ensuring social security has become the prime concern for security
administrators. The widespread and recurrent use of social media sites is creating a huge …

We propose a neural embedding approach to identify temporally like-minded user
communities, ie, those communities of users who have similar temporal alignment in their …

With the advancement of social sensing technologies, digital maps have recently witnessed
a tremendous evolution with the aim of integrating enriched semantic layers from …