Abstract: The present invention provides at least a method includes: extracting a plurality of partial communities from a plurality of users, based on the relationships of companion messages; computing a first degree of similarity for showing the similarity of the companion partial communities, based on the relationship of a user belonging to one partial community with a user belonging to the other partial community, from among the plurality of communities; computing a second degree of similarity for showing the similarity of companion partial communities, based on words within the messages sent by users belonging to both partial communities and under the condition that the first similarity be higher than a predetermined first threshold value; and creating an integrated community by integrating the companion partial communities under the condition that the second similarity be higher than a predetermined second threshold value.

Abstract: The present invention provides a method for selecting an identified message group from among the plurality of messages sent by a plurality of users of social media. For the messages sent by users other than the original user that quote the message sent by the original message user, the method provides: performing a primary evaluation of the potential for being further resent; identifying a single user who has sent a message for which the primary evaluation result was higher than a predetermined first threshold; identifying a message group similar to a resent messages group, based on a resent messages group that quotes the message send by the single user; performing a secondary evaluation for the potential that the similar message group will be further resent; and selecting a message group for which the secondary evaluation result was higher than a predetermined second threshold.

Abstract: The present invention provides at least a method includes: extracting a plurality of partial communities from a plurality of users, based on the relationships of companion messages; computing a first degree of similarity for showing the similarity of the companion partial communities, based on the relationship of a user belonging to one partial community with a user belonging to the other partial community, from among the plurality of communities; computing a second degree of similarity for showing the similarity of companion partial communities, based on words within the messages sent by users belonging to both partial communities and under the condition that the first similarity be higher than a predetermined first threshold value; and creating an integrated community by integrating the companion partial communities under the condition that the second similarity be higher than a predetermined second threshold value.

Abstract: The present invention provides at least a method includes: extracting a plurality of partial communities from a plurality of users, based on the relationships of companion messages; computing a first degree of similarity for showing the similarity of the companion partial communities, based on the relationship of a user belonging to one partial community with a user belonging to the other partial community, from among the plurality of communities; computing a second degree of similarity for showing the similarity of companion partial communities, based on words within the messages sent by users belonging to both partial communities and under the condition that the first similarity be higher than a predetermined first threshold value; and creating an integrated community by integrating the companion partial communities under the condition that the second similarity be higher than a predetermined second threshold value.

Abstract: Device, method, and program for analyzing deformation in an object during crash simulation. A device for analyzing deformation in an object is provided. The device includes: a memory; a processor device communicatively coupled to the memory; and a module for analyzing deformation in an object coupled to the memory and the processor device to operate the following units: an acquisition unit for acquiring coordinate data along a time series at a plurality of points in the object; a calculation unit for calculating an amount of deformation feature indicating an amount of deformation in the object over time from the coordinate data at the plurality of points at each time in the time series; and a storage unit for setting the time series data for the amount of deformation feature as data for specifying a deformed state of the object, associating said data with the object, and storing the associated data.

Abstract: To identify a scenario that will bear a good simulation result from among a plurality of scenarios used in an agent-based simulation with a reduced amount of computation, there is provided an information processing apparatus comprising a counting part configured to count the number of agents in each of a plurality of states at a middle of a simulation that involves a plurality of agents, and a generation part configured to generate characteristic data used for prediction of a result of the simulation based on the number of agents in each of the plurality of states.

Abstract: A method, device and computer program for efficiently identifying items having a high frequency of occurrence among items included in a large-volume text data stream. Identification information for identifying an item and a count of items are stored in a higher level of memory and only identification information is stored in a lower level. Text data stream input is received, the increment of the count of an item is increased in response to storage in the higher level memory of identification information for an item included in a bucket divided from the received text data stream input, identification information for the item is transferred with the initial count to the higher level of memory in response to storage in the lower level and the identification information for the item is newly stored with the initial count in the higher level in response to not being stored on any level.

Abstract: The present invention provides a method for selecting an identified message group from among the plurality of messages sent by a plurality of users of social media. For the messages sent by users other than the original user that quote the message sent by the original message user, the method provides: performing a primary evaluation of the potential for being further resent; identifying a single user who has sent a message for which the primary evaluation result was higher than a predetermined first threshold; identifying a message group similar to a resent messages group, based on a resent messages group that quotes the message send by the single user; performing a secondary evaluation for the potential that the similar message group will be further resent; and selecting a message group for which the secondary evaluation result was higher than a predetermined second threshold.

Abstract: The present invention provides a method, system and computer program in which risk assessment values are calculated and displayed for event sequences, in which the event sequences consist of events of a finite number M of types and in which some of the event group is a partially ordered set in a time series. An M-dimensional sparsely ordered matrix is generated on the basis of an event sequence, interpolation is performed between the elements of the generated sparsely ordered matrix, and a densely ordered matrix is calculated. A mapping matrix is calculated for mapping the similarity relations between event sequences in two-dimensional space or three-dimensional space based on the calculated densely ordered matrix, the corresponding points of each event sequence are calculated in two-dimensional space or three-dimensional space using the calculated mapping matrix, and the calculated corresponding points are outputted and displayed in two-dimensional or three-dimensional space.

Abstract: Device, method, and program for analyzing deformation in an object during crash simulation. A device for analyzing deformation in an object is provided. The device includes: a memory; a processor device communicatively coupled to the memory; and a module for analyzing deformation in an object coupled to the memory and the processor device to operate the following units: an acquisition unit for acquiring coordinate data along a time series at a plurality of points in the object; a calculation unit for calculating an amount of deformation feature indicating an amount of deformation in the object over time from the coordinate data at the plurality of points at each time in the time series; and a storage unit for setting the time series data for the amount of deformation feature as data for specifying a deformed state of the object, associating said data with the object, and storing the associated data.

Abstract: The present invention provides at least a method includes: extracting a plurality of partial communities from a plurality of users, based on the relationships of companion messages; computing a first degree of similarity for showing the similarity of the companion partial communities, based on the relationship of a user belonging to one partial community with a user belonging to the other partial community, from among the plurality of communities; computing a second degree of similarity for showing the similarity of companion partial communities, based on words within the messages sent by users belonging to both partial communities and under the condition that the first similarity be higher than a predetermined first threshold value; and creating an integrated community by integrating the companion partial communities under the condition that the second similarity be higher than a predetermined second threshold value.

Abstract: A weather forecast system, method of forecasting weather and a computer program product therefor. A forecasting computer applies a grid to a forecast area and provides a weather forecast for each grid cell. Population movement sensors sense population movement in the area. A swarm detector detects patterns in area population movement that indicate swarm activity, from which the swarm detector predicts swarm patterns. A planning module receives area weather forecasts and swarm patterns, and provides swarm path indications to the forecasting system for adjusting the grid applied to the forecast area.

Abstract: A computer implemented method, system, and product for finding correspondence between terms in two different languages. The method includes the steps of: creating a technical term set and a general term set for each of i) a first language and ii) a second language, creating two bipartite graphs, where each graph corresponds to one of the two languages, and connects the technical term set and general term set of each language, respectively, with weighted links based on corpus information, creating a third bipartite graph by creating weighted links between general terms in the first language and general terms in the second language by using a translation dictionary, creating an association matrix M corresponding to the three bipartite graphs, calculating a similarity matrix Q by calculation of an inverse matrix, and outputting correspondence between the technical term sets of the first and second language on basis of the similarity matrix.

Abstract: A computer implemented method, system, and product for finding correspondence between terms in two different languages. The method includes the steps of: creating a technical term set and a general term set for each of i) a first language and ii) a second language, creating two bipartite graphs, where each graph corresponds to one of the two languages, and connects the technical term set and general term set of each language, respectively, with weighted links based on corpus information, creating a third bipartite graph by creating weighted links between general terms in the first language and general terms in the second language by using a translation dictionary, creating an association matrix M corresponding to the three bipartite graphs, calculating a similarity matrix Q by calculation of an inverse matrix, and outputting correspondence between the technical term sets of the first and second language on basis of the similarity matrix.

Abstract: A weather forecast system, method of forecasting weather and a computer program product therefor. A forecasting computer applies a grid to a forecast area and provides a weather forecast for each grid cell. Population movement sensors sense population movement in the area. A swarm detector detects patterns in area population movement that indicate swarm activity, from which the swarm detector predicts swarm patterns. A planning module receives area weather forecasts and swarm patterns, and provides swarm path indications to the forecasting system for adjusting the grid applied to the forecast area.

Abstract: A method, device and computer program for efficiently identifying items having a high frequency of occurrence among items included in a large-volume text data stream. Identification information for identifying an item and a count of items are stored in a higher level of memory and only identification information is stored in a lower level. Text data stream input is received, the increment of the count of an item is increased in response to storage in the higher level memory of identification information for an item included in a bucket divided from the received text data stream input, identification information for the item is transferred with the initial count to the higher level of memory in response to storage in the lower level and the identification information for the item is newly stored with the initial count in the higher level in response to not being stored on any level.

Abstract: A computer implemented method, system, and product for finding correspondence between terms in two different languages. The method includes the steps of: creating a technical term set and a general term set for each of i) a first language and ii) a second language, creating two bipartite graphs, where each graph corresponds to one of the two languages, and connects the technical term set and general term set of each language, respectively, with weighted links based on corpus information, creating a third bipartite graph by creating weighted links between general terms in the first language and general terms in the second language by using a translation dictionary, creating an association matrix M corresponding to the three bipartite graphs, calculating a similarity matrix Q by calculation of an inverse matrix, and outputting correspondence between the technical term sets of the first and second language on basis of the similarity matrix.

Abstract: A computer implemented method, system, and product for finding correspondence between terms in two different languages. The method includes the steps of: creating a technical term set and a general term set for each of i) a first language and ii) a second language, creating two bipartite graphs, where each graph corresponds to one of the two languages, and connects the technical term set and general term set of each language, respectively, with weighted links based on corpus information, creating a third bipartite graph by creating weighted links between general terms in the first language and general terms in the second language by using a translation dictionary, creating an association matrix M corresponding to the three bipartite graphs, calculating a similarity matrix Q by calculation of an inverse matrix, and outputting correspondence between the technical term sets of the first and second language on basis of the similarity matrix.