2004年12月6日 · Here we present a hierarchical agglomeration algorithm for detecting community structure which is faster than many competing algorithms: its running time on a network with …

We show that our algorithm can extract meaningful communities from this network, revealing large-scale patterns present in the purchasing habits of customers. Many systems of current …

Here we present a hierarchical agglomeration algorithm for detecting community structure which is faster than many competing algorithms: its running time on a network with n vertices and m …

2004年8月9日 · Here we present a hierarchical agglomeration algorithm for detecting community structure which is faster than many competing algorithms: its running time on a network with n …

The discovery and analysis of community structure in networks is a topic of considerable recent interest within the physics community , but most methods proposed so far are unsuitable for …

Here we present a hierarchical agglomeration algorithm for detecting community structure which is faster than many competing algorithms: its running time on a network with n vertices and m …

2005年1月1日 · In this study, we address these issues by proposing a novel network community structure similarity index (NCSSI) based on the edit distance concept.

Here we present a hierarchical agglomeration algorithm for detecting community structure which is faster than many competing algorithms: its running time on a network with n vertices and m …

2004年8月9日 · We show that our algorithm can extract meaningful communities from this network, revealing large-scale patterns present in the purchasing habits of customers. …

Here we present a hierarchical agglomeration algorithm for detecting community structure which is faster than many competing algorithms: its running time on a network with n vertices and m …