Add to ORKGIn this paper, a novel agent-based platform for Twitter user clustering is proposed. We describe how our system tracks the activity for a given topic in the social network and how to detect communities of users with similar political preferences by means of the Louvain Modularity. The quality of this clustering method is evaluated against a subset of human-labeled user profiles. Finally, we propose combining community detection with a force-directed graph algorithm to produce a visual representation of the political communities
In this paper, we present an evolving data-based approach to automatically cluster Twitter users acc...
Now-a-days social media is used to the introduce new issues and discussion on social media. More num...
A network is a composition of many communities, i.e., sets of nodes and edges with stronger relation...
In this paper, a novel framework for social user clustering is proposed. Given a current controversi...
In this paper, a novel framework for social user clustering is proposed. Given a current controversi...
© 2016 IEEE.We present a novel approach to clustering Twitter users and characterizing their prefere...
© 2016 IEEE.We present a novel approach to clustering Twitter users and characterizing their prefere...
© 2016 IEEE.We present a novel approach to clustering Twitter users and characterizing their prefere...
© 2016 IEEE.We present a novel approach to clustering Twitter users and characterizing their prefere...
In this paper, we present an evolving data-based approach to automatically cluster Twitter users acc...
In this paper, we present an evolving data-based approach to automatically cluster Twitter users acc...
Detecting communities of interest in social media platforms provides insight into the platforms and ...
The detection of communities in social networks is a task with multiple applications both in resear...
We first estimate the number of Italian users active on Twitter in the last year by filtering the It...
We first estimate the number of Italian users active on Twitter in the last year by filtering the It...
In this paper, we present an evolving data-based approach to automatically cluster Twitter users acc...
Now-a-days social media is used to the introduce new issues and discussion on social media. More num...
A network is a composition of many communities, i.e., sets of nodes and edges with stronger relation...
In this paper, a novel framework for social user clustering is proposed. Given a current controversi...
In this paper, a novel framework for social user clustering is proposed. Given a current controversi...
© 2016 IEEE.We present a novel approach to clustering Twitter users and characterizing their prefere...
© 2016 IEEE.We present a novel approach to clustering Twitter users and characterizing their prefere...
© 2016 IEEE.We present a novel approach to clustering Twitter users and characterizing their prefere...
© 2016 IEEE.We present a novel approach to clustering Twitter users and characterizing their prefere...
In this paper, we present an evolving data-based approach to automatically cluster Twitter users acc...
In this paper, we present an evolving data-based approach to automatically cluster Twitter users acc...
Detecting communities of interest in social media platforms provides insight into the platforms and ...
The detection of communities in social networks is a task with multiple applications both in resear...
We first estimate the number of Italian users active on Twitter in the last year by filtering the It...
We first estimate the number of Italian users active on Twitter in the last year by filtering the It...
In this paper, we present an evolving data-based approach to automatically cluster Twitter users acc...
Now-a-days social media is used to the introduce new issues and discussion on social media. More num...
A network is a composition of many communities, i.e., sets of nodes and edges with stronger relation...