Abstract: A method of protecting information in search queries uses a search apparatus with a user interface that is configured for connection to a computer network that comprises a plurality of search engines on a plurality of servers. The method includes receiving a search query comprising a plurality of keywords; dividing the search query into a number of sub-queries, each sub-query comprising at least one of the keywords; and submitting the sub-queries to different search engines.

Abstract: An information processor and method for classifying user attributes of a plurality of nodes connected to a network. The information processor includes: an action history obtaining unit for generating a spammer-reporting action history set; a related node obtaining unit for generating a node set and a link set related to the spammer-reporting actions; an undirected graph generation unit for generating an undirected graph from the node set and the link set; and a max-cut computation unit classifying the nodes constituting the undirected graph into two exclusive sets that do not commonly include any element so as to maximize an indicator value defined by links bridging the two sets.

Abstract: In a search support server, a related word extraction unit generates frequency information and co-occurrence information of keywords, a graph generation unit generates coordinate information of a spring graph including the keywords as nodes, on the basis of the co-occurrence information, a cluster generation unit groups the nodes into clusters and thereby generates cluster definition information, and a display information generation unit generates display information of the spring graph. In addition, an operation determination unit determines which operation is performed on the spring graph. Then, when a level change is instructed, the display information generation unit generates display information of the spring graph after the level is changed. When a node change is instructed, a cluster re-generation unit changes the cluster definition information and the frequency information.

Abstract: An analysis system, information processing apparatus, activity analysis method, and program for analyzing activities of an information source on a network. The system and apparatus include an attribute extraction block for extracting, an information propagation graph acquisition block for searching action history data, and a characteristic user calculation block for calculating an amount characteristic. The method and program product include the steps of extracting an information characteristic value, searching action history data, registering the information, calculating an amount characteristic, and integrating the amount characteristic.

Abstract: A method of protecting information in search queries uses a search apparatus with a user interface that is configured for connection to a computer network that comprises a plurality of search engines on a plurality of servers.

Abstract: In a search support server, a related word extraction unit generates frequency information and co-occurrence information of keywords, a graph generation unit generates coordinate information of a spring graph including the keywords as nodes, on the basis of the co-occurrence information, a cluster generation unit groups the nodes into clusters and thereby generates cluster definition information, and a display information generation unit generates display information of the spring graph. In addition, an operation determination unit determines which operation is performed on the spring graph. Then, when a level change is instructed, the display information generation unit generates display information of the spring graph after the level is changed. When a node change is instructed, a cluster re-generation unit changes the cluster definition information and the frequency information.

Abstract: An information processor and method for classifying user attributes of a plurality of nodes connected to a network. The information processor includes: an action history obtaining unit for generating a spammer-reporting action history set; a related node obtaining unit for generating a node set and a link set related to the spammer-reporting actions; an undirected graph generation unit for generating an undirected graph from the node set and the link set; and a max-cut computation unit classifying the nodes constituting the undirected graph into two exclusive sets that do not commonly include any element so as to maximize an indicator value defined by links bridging the two sets.

Abstract: An analysis system, information processing apparatus, activity analysis method, and program for analyzing activities of an information source on a network. The system and apparatus include an attribute extraction block for extracting, an information propagation graph acquisition block for searching action history data, and a characteristic user calculation block for calculating an amount characteristic. The method and program product include the steps of extracting an information characteristic value, searching action history data, registering the information, calculating an amount characteristic, and integrating the amount characteristic.