“Working with Krishnan was one of my most rewarding experiences at Cambridge. Krishnan was not only one of the very best technical staff at very techincally oriented company, he also grasped the application of technology to provide solutions toward acheivement of business objectives and worked with the highest degree of integrity and honesty.”
About
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We are thrilled to announce Amit Gupta as Cardlytics’ incoming CEO, effective August 16. Amit has served as Cardlytics’ chief operating officer and…
We are thrilled to announce Amit Gupta as Cardlytics’ incoming CEO, effective August 16. Amit has served as Cardlytics’ chief operating officer and…
Liked by Krishnan Rajagopalan
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Come work with me! Exciting opportunity alert! We are seeking a skilled operator to join our team as the first Partnership Strategic Operations…
Come work with me! Exciting opportunity alert! We are seeking a skilled operator to join our team as the first Partnership Strategic Operations…
Liked by Krishnan Rajagopalan
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I don’t know whether we fully appreciate this….
I don’t know whether we fully appreciate this….
Liked by Krishnan Rajagopalan
Experience & Education
Publications
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Learning the News in Social Networks
Foundations of Information and Knowledge Systems - 7th International Symposium, FoIKS 2012, Kiel, Germany, March 5-9, 2012. Proceedings 2012
In social media such as facebook, the most popular desire is to learn the news about other people. In this paper, we study the following problem related to information propagation: Suppose that there is a set U of N users in a social network. They meet online from time to time and share information they know about themselves and the other users in the network. Whenever a group g ⊂ U of users meet, they want to know who has the latest information about every user in U. A naive solution to this…
In social media such as facebook, the most popular desire is to learn the news about other people. In this paper, we study the following problem related to information propagation: Suppose that there is a set U of N users in a social network. They meet online from time to time and share information they know about themselves and the other users in the network. Whenever a group g ⊂ U of users meet, they want to know who has the latest information about every user in U. A naive solution to this problem is to use timestamps. However, there are drawbacks to this scheme including the burden on the users to maintain reliable timestamps and the fact that the timestamps grow unbounded over time. It is natural to ask if it is possible to learn the latest information without using timestamps. We present an efficient method which removes the need to timestamp user information (news). Instead, only the meetings of the groups have to be indexed. Furthermore, we show that this indexing can be performed using a finite set of labels so that each user stores at most O(N 2 logN) bits of information. We also show that this bound can be improved in some cases if we have further information on the topology of the network.
Other authorsSee publication -
Technology Initiatives II
Motion Picture Association of America (MPAA)
Languages
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English
Native or bilingual proficiency
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Tamil
Native or bilingual proficiency
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Hindi
Full professional proficiency
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