Add to ORKGIn this paper, a novel framework for social user clustering is proposed. Given a current controversial political topic, the Louvain Modularity algorithm is used to detect communities of users sharing the same political preferences. The political alignment of a set of users is labeled manually by a human expert and then the quality of the community detection is evaluated against this gold standard. In the last section, we propose a novel force-directed graph algorithm to generate a visual representation of the detected communities.
The main subject of this thesis is to study the structure of communities in social networks and to d...
© 2016 IEEE.We present a novel approach to clustering Twitter users and characterizing their prefere...
The main subject of this thesis is to study the structure of communities in social networks and to d...
In this paper, a novel framework for social user clustering is proposed. Given a current controversi...
In this paper, a novel agent-based platform for Twitter user clustering is proposed. We describe how...
Now-a-days social media is used to the introduce new issues and discussion on social media. More num...
Social networks usually display a hierarchy of communities and it is the task of community detection...
Adaptive visualization approaches attempt to tune the content and the topology of information visual...
Information about interactions between human actors, and the attributes about the actors in the netw...
Ever since the internet became publicly available it has allowed users to interact with each other a...
Ever since the internet became publicly available it has allowed users to interact with each other a...
Ever since the internet became publicly available it has allowed users to interact with each other a...
Ever since the internet became publicly available it has allowed users to interact with each other a...
The rise of the Internet has brought people closer. The number of interactions between people across...
The identification of groups in social networks drawn as graphs is an important task for social scie...
The main subject of this thesis is to study the structure of communities in social networks and to d...
© 2016 IEEE.We present a novel approach to clustering Twitter users and characterizing their prefere...
The main subject of this thesis is to study the structure of communities in social networks and to d...
In this paper, a novel framework for social user clustering is proposed. Given a current controversi...
In this paper, a novel agent-based platform for Twitter user clustering is proposed. We describe how...
Now-a-days social media is used to the introduce new issues and discussion on social media. More num...
Social networks usually display a hierarchy of communities and it is the task of community detection...
Adaptive visualization approaches attempt to tune the content and the topology of information visual...
Information about interactions between human actors, and the attributes about the actors in the netw...
Ever since the internet became publicly available it has allowed users to interact with each other a...
Ever since the internet became publicly available it has allowed users to interact with each other a...
Ever since the internet became publicly available it has allowed users to interact with each other a...
Ever since the internet became publicly available it has allowed users to interact with each other a...
The rise of the Internet has brought people closer. The number of interactions between people across...
The identification of groups in social networks drawn as graphs is an important task for social scie...
The main subject of this thesis is to study the structure of communities in social networks and to d...
© 2016 IEEE.We present a novel approach to clustering Twitter users and characterizing their prefere...
The main subject of this thesis is to study the structure of communities in social networks and to d...