International Business Machines Corporation

Karthik Subbian

Ramakrishnan Kannan

Rajaraman Hariharan

Laura Wynter

Anbazhagan Mani

Matthew B Trevathan

Sri Ramanathan

Rajan Ravindran

Richard D Lawrence

Prem Melville

Claudia Perlich

Estepan Meliksetian

Pietro Mazzoleni

Sandeep Kohli

Aubrey J Rembert

Priyadarshini Sampath

Vasu Vallabhaneni

Charu Chandra Aggarwal

Parijat Dube

Rahul Jain

Sricharan Puligundla

A method, system and computer program product are disclosed for predicting influence in a social network. In one embodiment, the method comprises identifying a set of users of the social network, and identifying a subset of the users as influential users based on defined criteria. A multitude of measures are identified as predictors of which ones of the set of users are the influential users. These measures are aggregated, and a composite predictor model is formed based on this aggregation. This composite predictor model is used to predict which ones of the set of users will have a specified influence in the social network in the future. In one embodiment, the specified influence is based on messages sent from the users, and for example, may be based on the number of the messages sent from each user that are re-sent by other users.

Predicting influence in social networks

Search results are received that were generated by a search engine in response to a search query entered by a user. The search results include a first result which contains a first set of identifying data. The first result is matched with a first profile on a first social network which is merged with a second social network. The first profile contains a second set of identifying data which satisfies matching criteria for similarity with the first set of identifying data.

Cross-channel social search

A system and method for contextually interpreting image sequences are provided. The method comprises receiving video from one or more video sources, and generating one or more questions associated with one or more portions of the video based on at least one user-defined objective. The method further comprises sending the one or more portions of the video and the one or more questions to one or more assistants, receiving one or more answers to the one or more questions from the one or more assistants, and determining a contextual interpretation of the video based on the one or more answers and the video.

System and method for contexually interpreting image sequences

Described are a system and method for identifying variables which impact performance of software under development. Data is collected that is related to performance characteristics of the software under development. Performance change gradients are determined between previous builds of the software under development. A set of performance change factors are generated from the collected data that corresponds to each performance change gradient. Performance characteristic data corresponding to a current build of the software under development are compared to the performance change gradients. At least one fault component from the set of performance change factors that influences performance of the current build is output in response to the comparison between the performance characteristic data corresponding to the current build and the plurality of performance change gradients.

Systems and methods for identifying software performance influencers

A method for generating website feature requirements includes receiving a screen capture image including a website. The screen capture image is matched to one or more known website features listed within a database of website features. A website features requirements specification is generated based on the results of the matching. One or more recommendations for modifying the website features requirements specification is automatically generated based on considerations of cost or complexity of implementation. The website features requirements specification is updated based on the one or more recommendations.

System advisor for requirements gathering and analysis in web solutions

A method and system for detecting an event from a social stream. The method includes the steps of: receiving a social stream from a social network, where the social stream includes at least one object and the object includes a text, sender information of the text, and recipient information of the text; assigning said object to a cluster based on a similarity value between the object and the clusters; monitoring changes in at least one of the clusters; and triggering an alarm when the changes in at least one of the clusters exceed a first threshold value, where at least one of the steps is carried out using a computer device.

Event mining in social networks

An embodiment of the invention provides relative bookmarks that are sharable between developers engaged in product development utilizing integrated design environment applications. The relative bookmarks are sharable in that they can be exported, imported, activated and deactivated. The relative bookmarks are relative in that they do not rely on the original code line and contain at least function and/or data flow information, facilitating quick identification of relevant lines of code that have been previously bookmarked. The relative bookmarks can also be utilized to insert breakpoints.

Sharable development environment bookmarks for functional/data flow

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Karnataka, India

Karthik Subbian