A method for detecting an emotional stressor in a network includes detecting changes in emotions of users of the network, correlating individual ones of the changes in emotions, in accordance with a map that illustrates spatial, social, or temporal connections of the users, and inferring a cause of at least one of the changes in emotion, based on the correlating. A computer program product for detecting an emotional stressor in a network comprises a computer readable storage medium having program instructions embodied therewith. The program instructions are executable by a processor to cause the processor to perform a method including detecting changes in emotions of users of the network, correlating individual ones of the changes in emotions, in accordance with a map that illustrates spatial, social, or temporal connections of the users, and inferring a cause of at least one of the changes in emotion, based on the correlating.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A method for detecting an emotional stressor in a network, the method comprising: detecting changes in emotions of users of the network; correlating individual ones of the changes in emotions, in accordance with a map that illustrates spatial, social, or temporal connections of the users; and inferring a cause of at least one of the changes in emotion, based on the correlating. 2. The method of claim 1, wherein the detecting comprises: monitoring endpoint devices used by the users and connected to the network. 3. The method of claim 2, wherein the monitoring comprises: observing interactions of the users involving voluntarily obtrusive devices. 4. The method of claim 2, wherein the monitoring comprises: observing behaviors of the users involving non-obtrusive devices and activities. 5. The method of claim 2, wherein the monitoring comprises: observing online data. 6. The method of claim 1, wherein the changes in emotions are detected via changes in an observable physiological indicator. 7. The method of claim 6, wherein the observable physiological indicator is a blood pressure of one of the users. 8. The method of claim 6, wherein the observable physiological indicator is a heart rate of one of the users. 9. The method of claim 6, wherein the observable physiological indicator is a pupil dilation of one of the users. 10. The method of claim 6, wherein the observable physiological indicator is a skin conductivity of one of the users. 11. The method of claim 1, wherein the map places the users in positions that correspond to present emotional states of the users. 12. The method of claim 1, wherein the map places the users in positions that correspond to emotional contexts of the users. 13. The method of claim 1, wherein the map places the users in positions that correspond to historical emotional changes of the users. 14. The method of claim 1, wherein the map places the users in positions that correspond to current roles of the users in a social structure. 15. The method of claim 1, wherein the map places the users in positions that correspond to magnitudes of impacts made by the users in a temporal domain. 16. The method of claim 1, wherein the map places the users in positions that correspond to current spatial, social, or temporal statuses of the users. 17. The method of claim 1, wherein the correlating comprises: identifying a relationship among a subset of the changes in emotion that are associated with a single individual. 18. The method of claim 1, wherein the correlating comprises: identifying a relationship between a first one of the changes in emotion that is associated with a first one of the users and a second one of the changes in emotion that is associated with a second one of the users. 19. A computer program product for detecting an emotional stressor in a network, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a processor to cause the processor to perform a method comprising: detecting changes in emotions of users of the network; correlating individual ones of the changes in emotions, in accordance with a map that illustrates spatial, social, or temporal connections of the users; and inferring a cause of at least one of the changes in emotion, based on the correlating. 20. A system for detecting an emotional stressor in a network, the system comprising: a plurality of endpoint devices for supporting interactions of the users via the network; a database for storing data relating to emotions of the users, wherein the data is extracted from the interactions; and an application server for detecting changes in the emotions, correlating individual ones of the changes in emotions, in accordance with a map that illustrates spatial, social, or temporal connections of the users, and inferring a cause of at least one of the changes in emotion, based on the correlating.