Feb 10, 2020 · The aim of this paper is to determine domain-based social influencers by means of a framework that incorporates semantic analysis and machine learning modules.

Jan 19, 2020 · This paper presents an approach incorporates semantic analysis and machine learning modules to measure and predict users' trustworthiness in numerous domains ...

Hence, this paper presents an approach incorporates semantic analysis and machine learning modules to measure and predict users' trustworthiness in numerous ...

This paper presents an approach to estimate and predict the domain-based credibility in OSNs. The experimental task conducted to evaluate this approach ...

Jan 23, 2020 · Hence, this paper presents an approach incorporates semantic analysis and machine learning modules to measure and predict users' trustworthiness ...

The aim of this paper is to determine domain-based social influencers by means of a framework that incorporates semantic analysis and machine learning ...

The aim of this paper is to determine domain-based social influencers by means of a framework that incorporates semantic analysis and machine learning modules ...

The aim of this paper is to determine domain-based social influencers by means of a framework that incorporates semantic analysis and machine learning modules ...

Bibliographic details on An Approach for Time-aware Domain-based Social Influence Prediction.

The aim of this paper is to determine domain-based social influencers by means of a framework that incorporates semantic analysis and machine learning modules ...