In a time where online social media has a significant influence on both individuals and groups of people in our modern societies, there is a need to have a digital tool that helps gather and construct data from online social media, then use this data to detect influence between individual users by measuring and classifying the strength and field of this detected influence. This research proposes a method for influence detection, then builds a technical solution on top of it to enable analyzers of online social media to have a visual and scientific understanding of the influence flow in online social media. The results achieved from the project of this research is a technical information system that can crawl data from online social media, t...
In today's networked society where everybody and everything becomes inter-connected, it is very impo...
2016 International Joint Conference on Neural Networks, IJCNN 2016, Vancouver, Canada, 24-29 July 20...
Online social networks gained their popularity from relationships users can build with each other. T...
In a time where online social media has a significant influence on both individuals and groups of pe...
Online social networks have become globally ubiquitous, and therefore are an arena where important s...
Social influence has become a field of study about how people might induce effect on others. Diffusi...
Much research effort has been conducted to analyze information from social networks, including findi...
Online social networks are complex systems often involving millions or even billions of users. Under...
The emergence of social media enables billions of people to share their content and in doing so they...
Online social media, such as Facebook, Twitter, and LinkedIn, provides users with services that enab...
Complementary to the fancy applications of social networks, influence analysis is an indispensable t...
Social Media are at the heart of our communications and are among the most visited places on the web...
Due to the spread of technology and world wide web, Online Social media invaded every home in the wo...
In recent years, social network services have become very popular across the globe. These include Fa...
Influence measurement regarding social media has gained importance. This paper introduces a matrix w...
In today's networked society where everybody and everything becomes inter-connected, it is very impo...
2016 International Joint Conference on Neural Networks, IJCNN 2016, Vancouver, Canada, 24-29 July 20...
Online social networks gained their popularity from relationships users can build with each other. T...
In a time where online social media has a significant influence on both individuals and groups of pe...
Online social networks have become globally ubiquitous, and therefore are an arena where important s...
Social influence has become a field of study about how people might induce effect on others. Diffusi...
Much research effort has been conducted to analyze information from social networks, including findi...
Online social networks are complex systems often involving millions or even billions of users. Under...
The emergence of social media enables billions of people to share their content and in doing so they...
Online social media, such as Facebook, Twitter, and LinkedIn, provides users with services that enab...
Complementary to the fancy applications of social networks, influence analysis is an indispensable t...
Social Media are at the heart of our communications and are among the most visited places on the web...
Due to the spread of technology and world wide web, Online Social media invaded every home in the wo...
In recent years, social network services have become very popular across the globe. These include Fa...
Influence measurement regarding social media has gained importance. This paper introduces a matrix w...
In today's networked society where everybody and everything becomes inter-connected, it is very impo...
2016 International Joint Conference on Neural Networks, IJCNN 2016, Vancouver, Canada, 24-29 July 20...
Online social networks gained their popularity from relationships users can build with each other. T...