Abstract: A computer-implemented system and method for generating a display of document clusters is described. Clusters of documents are presented in a multi-dimensional concept space. At least one document is selected from a collection of documents to be clusters. An angle ? of the document relative to a common origin of the multi-dimensional concept space is computed. The selected document is compared with each of the clusters. An angle ? from the common origin is determined for each cluster. A difference between the angle ? for the document and the angle ? for the cluster is determined. The difference is compared to the variance, and a new cluster is created when the difference exceeds the variance for all the clusters.

Abstract: A computer-implemented system and method for visualizing message-related relationships within a social network is provided. Entities associated with a group of messages are identified. A social network is built based on a relationship of the entities and messages by connecting those entities that share at least one of the messages from the group. A representation of the social network is generated by representing each message with a node. The nodes are organized based on at least one characteristic of the messages.

Abstract: A computer-implemented system and method for displaying clusters via a dynamic user interface is presented. Cluster spines are displayed and each cluster spine includes two or more clusters of documents. At least one compass frames at least a portion of one or more of the cluster spines in the display. At least one label is generated to identify a concept of one of the framed cluster spines. The label is circumferentially displayed around the compass. Then, the concept is changed as the compass moves over others of the cluster spines.

Abstract: A computer-implemented system and method for clustering similar documents is provided. Concepts are identified for a set of documents and occurrence frequencies are determined for each concept in the documents set. A distance quantifying a similarity for each of the documents in the set with one or more clusters of documents is calculated. Each document is mapped to at least one of the one or more document clusters.

Abstract: A system and method for generating groups of cluster spines for display are provided. One or more concepts for each cluster in a set of clusters are generated. Spines are formed from at least a portion of the clusters based on the concepts. At least one spine unique from all other spines is placed. One or more spine groups are generated by positioning at least one unplaced spine in relation to one of the placed unique spines. The spine groups are displayed.

Abstract: A system and method for generating cluster spines is provided. Clusters of documents are maintained. Each document is associated with a document concept that is formed from one or more terms extracted from that document. At least one cluster concept is determined for each cluster. The document concepts are ranked and at least one of the document concepts that is highly ranked is selected as the cluster concept. One or more spines are formed. Each spine includes two or more clusters that share at least one of the cluster concepts. The shared cluster concept is identified as a spine concept. One or more of the remaining clusters is assigned to the spines based on a similarity between the cluster concepts for the remaining clusters and the spine concepts for the formed spines.