Abstract: A system, method and program product for applying interventions to allocated resources intervention impacts identified and minimized. After receiving a change request requesting changes involving shared resources, elements affected by implementing the requested change are identified. Individual impacts to elements in each layer are determined moment by moment during a selected time frame, and overall impact to client activity is determined from individual impacts for the entire time frame. From the overall impact, a time may be identified within the time frame that has a minimum overall impact for implementing the requested change.

Abstract: Method and system for analyzing temporal data includes obtaining a first data set of temporal data of a first size and transforming the temporal data into a computer generated temporal graph containing a set of predefined data properties. The method includes generating a time decay function of a selected temporal attribute and fitting the time decay function into a temporal distribution of the selected temporal attribute in the temporal graph, selecting a data sampling time window in the temporal graph defining a second data set of temporal data of a second size less than the first size based on the time decay function, such that the set of predefined data properties is substantially preserved within the data sampling window, sampling data from the data source within the selected data sampling time window and generating a computer generated temporal subsample graph of the predefined data properties of the sampled network data.

Abstract: A system, method and program product for applying interventions to allocated resources intervention impacts identified and minimized. After receiving a change request requesting changes involving shared resources, elements affected by implementing the requested change are identified. Individual impacts to elements in each layer are determined moment by moment during a selected time frame, and overall impact to client activity is determined from individual impacts for the entire time frame. From the overall impact, a time may be identified within the time frame that has a minimum overall impact for implementing the requested change.

Abstract: A system, method and program product for applying interventions to allocated resources intervention impacts identified and minimized. After receiving a change request requesting changes involving shared resources, elements affected by implementing the requested change are identified. Individual impacts to elements in each layer are determined moment by moment during a selected time frame, and overall impact to client activity is determined from individual impacts for the entire time frame. From the overall impact, a time may be identified within the time frame that has a minimum overall impact for implementing the requested change.

Abstract: An aspect of the disclosure includes a method, a system and a computer program product for planning and presenting a topic to a plurality of students. The method includes defining a topic for a plurality of students and a time period for presenting the topic to the plurality of students. Each of the students has an associated learning style, the learning style including a learning style, pace, speed or mastery information. At least one electronic media is determined from a plurality of electronic media on the topic for each of the students based on a consumption time of the electronic media, the time period and the associated learning style parameter of each student. The at least one electronic media determined for each student is presented to each student.

Abstract: Method and system for analyzing temporal data includes obtaining a first data set of temporal data of a first size and transforming the temporal data into a computer generated temporal graph containing a set of predefined data properties. The method includes generating a time decay function of a selected temporal attribute and fitting the time decay function into a temporal distribution of the selected temporal attribute in the temporal graph, selecting a data sampling time window in the temporal graph defining a second data set of temporal data of a second size less than the first size based on the time decay function, such that the set of predefined data properties is substantially preserved within the data sampling window, sampling data from the data source within the selected data sampling time window and generating a computer generated temporal subsample graph of the predefined data properties of the sampled network data.

Abstract: A method and system for analyzing temporal data includes selecting a data source in which data from the source contains temporal attributes, obtaining temporal data of a first size from the selected data source and mapping the temporal data from the selected source in a temporal graph. The method and system selects a temporal attribute, generates a time decay function of the selected temporal attribute and selects a time window in the temporal graph defining a data set of a second size less than the first size based on the time decay function. The data set contains a set of predefined properties, each having a metric calculated from data within the time window. The method and system samples data from the data source based on the selected time window and generates a temporal graph of the metrics of the predefined properties of the sampled network data.

Abstract: An aspect of the disclosure includes a method, a system and a computer program product for planning and presenting a topic to a plurality of students. The method includes defining a topic for a plurality of students and a time period for presenting the topic to the plurality of students. Each of the students has an associated learning style, the learning style including a learning style, pace, speed or mastery information. At least one electronic media is determined from a plurality of electronic media on the topic for each of the students based on a consumption time of the electronic media, the time period and the associated learning style parameter of each student. The at least one electronic media determined for each student is presented to each student.

Abstract: A method and system for analyzing temporal data includes selecting a data source in which data from the source contains temporal attributes, obtaining temporal data of a first size from the selected data source and mapping the temporal data from the selected source in a temporal graph. The method and system selects a temporal attribute, generates a time decay function of the selected temporal attribute and selects a time window in the temporal graph defining a data set of a second size less than the first size based on the time decay function. The data set contains a set of predefined properties, each having a metric calculated from data within the time window. The method and system samples data from the data source based on the selected time window and generates a temporal graph of the metrics of the predefined properties of the sampled network data.

Abstract: A method and system identifying gifts having shared interests of a gifter and gift receivers based on social network connections, user profiles data and browsing data. The method includes obtaining gifter identification as gift receivers. The system ranks gift receivers with upcoming life events selected from gifter social network connections. The system acquires profile data and browsing data of the gifter and gift receivers, and identifies their interests to render gift recommendations for gift receivers based on shared interests between the gifter and gift receivers. The system then presents a list of identified gifts to the gifter and allows interaction through a user interface. The shared interests in one embodiment are mutual interests of the gifter and gift receivers and in another embodiment the shared interests are different interests of the gifter and gift receivers.

Abstract: A service monitoring and evaluation system, method and program product for monitoring and evaluating services, e.g., healthcare. A client or patient timeline storage stores social media information for any Event of Interest (EoI) for patients, including information indicating the effectiveness of patient treatment being provided by healthcare providers. Healthcare providers have access to the patient timeline storage for respective patients to track treatment. A monitoring bot continually searches social media for patient EoIs, and extracts treatment effectiveness information from the EoIs and adds any new information to the patient timeline storage. An evaluation bot receives requests for provider evaluation, filters patient timeline information for treatment effectiveness, and rates and ranks the treatment effectiveness for the requestor.

Abstract: A work process may be implemented based on social and enterprise networks. Candidate workers involved in the work process may be identified. A work-social network may be generated by merging social network information and work network information associated with the candidate workers. An overlap between the work-social network and the work process may be maximized or minimized by ranking the nodes representing the candidate workers in the work-social network. A set of top ranked nodes may be output as a list of selected workers to perform the work process.

Abstract: A work process may be implemented based on social and enterprise networks. Candidate workers involved in the work process may be identified. A work-social network may be generated by merging social network information and work network information associated with the candidate workers. An overlap between the work-social network and the work process may be maximized or minimized by ranking the nodes representing the candidate workers in the work-social network. A set of top ranked nodes may be output as a list of selected workers to perform the work process.

Abstract: A system, method and program product for applying interventions to allocated resources intervention impacts identified and minimized. After receiving a change request requesting changes involving shared resources, elements affected by implementing the requested change are identified. Individual impacts to elements in each layer are determined moment by moment during a selected time frame, and overall impact to client activity is determined from individual impacts for the entire time frame. From the overall impact, a time may be identified within the time frame that has a minimum overall impact for implementing the requested change.