M.S. Srinivasan's research while affiliated with Church of South India Hospital, Bangalore and other places
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Publications (4)
Extracting semantic associations from text corpora is an important problem with several applications. It is well understood that semantic associations from text can be discerned by observing patterns of co-occurrences of terms. However, much of the work in this direction have been piecemeal, addressing specific kinds of semantic associations. In th...
"A celebrity is the person who is well-known for their well-knownness". A person achieves celebrity status by achieving something extra-ordinary in a specific domain. People often show more interest in the personal aspect of the celebrity more than celebrities accomplishment. Any activity by the celebrities tend to get lots of attention. With socia...
The concept of celebrities has shaped societies throughouthistory. This work addresses the problem of celebrity identification from social media interactions. "Celebritiness" is a characteristic assigned to persons that are initially based on specific achievements or lineage. However, celebritiness often transcends achievements and gets attached to...
Citations
... Those measures weight the follower count with the friend count. There are further metrics by Srinivasan et al.[25]that consider the number of users that mention, reply to, or retweet the author's tweets. However, FollowerRank, TFF, and the Popularity can be influenced by the given user by changing the number of users s/he follows. ...
![[object Object]](https://i1.rgstatic.net/ii/profile.image/272435211665421-1441965024242_Q64/Srinath-Srinivasa.jpg)
... The sum of all outgoing probabilities from a node in the merged graph need not add up to 1, since not all neighbours of a node may be part of the merged graph. As a result, such a transition graph is also called a "leaking" Markov chain [26]. Infinitely long random walks on such a graph eventually terminate, as every random walk has a non-zero probability of "escaping" the graph. ...
![[object Object]](https://i1.rgstatic.net/ii/profile.image/272728812945412-1442035024168_Q64/Sumant-Kulkarni-2.jpg)
... The number of subscribers a media has serves as the most intuitive standard for measuring their influence, and media outlets with a large number of subscribers tend to have a wider reach and diffusion for their published news [24,25,40]. For instance, during public health emergencies, news dissemination strength varies among news media and celebrities, media organizations and ordinary individuals, celebrities and ordinary individuals [41,42]. On the other hand, the media's credibility and communication abilities significantly influence news dissemination during health emergencies. ...
