Suman Kalyan Maity
IBM PhD Fellow (2016 - present)

Microsoft Research India PhD Fellow (2014-2016)







My Fav Quotes

"What's the most resilient parasite? An idea. A single idea from the human mind can build cities. An idea can transform the world and rewrite all the rules. Which is why I have to steal it."

- Cobb, Inception (2010)

"You either die a hero or you live long enough to see yourself become the villain."

- Harvey Dent in The Dark Knight

"There are only two ways to live your life. One is as though nothing is a miracle. The other is as though everything is a miracle."

- Albert Einstein

Welcome !!

Hi everyone,

I am currently an IBM PhD Fellow in the department of Computer Science and Engineering, IIT Kharagpur and a member of Complex Network Research Group (CNeRG). Prior to this, I was a Microsoft Research India PhD Fellow from 2014-2016. I am working under the supervision of Prof. Animesh Mukherjee. My research interests broadly include Computational Social Science : with key focus on popularity of entities in social QA (Quora, Stack Overflow etc.), hashtag popularity and evolution of linguistic entities like lexical compounding, lexical blending on social media.

I am currently working on understanding popularity aspects of various linguistic entities (hashtags in Twitter, topics/tags in Social QA sites like Quora, Stack Overflow). Our new work on hashtag compounding has been published in CSCW 2016 and has received "Best Paper Honorable mention" award. I am also working on understanding anomalies (spam, rumor) in social network with active help from Prof. Arjun Mukherjee at University of Houston in the area of deep NLP. I worked in developing computational models to understand how word-meaning association is formed in a multi-agent scenarios and what are the factors influencing the phenomena with help from Dr. Francesca Tria, ISI Foundation, Turin, Italy and Dr. Vittorio Loreto, ISI Foundation, Turin, Italy and Department of Physics, Sapienza University, Rome . Apart from these, I have also worked on emergence and evolution of language variation with help from Dr. Tyll Kruger, Wroclaw University of Technology, Poland.

I will be graduating this Fall and looking for Postdoc opportunities.

Apart from engaging myself in research activities, I am a sports enthusiast and like travelling. I am a die-hard fan of Rafael Nadal and Sourav Ganguly.

Latest News

  • New paper - "Adapting predominant and novel sense discovery algorithms for identifying corpus-specific sense differences" accepted in TextGraphs 2017 (ACL 2017 workshop) - 19.05.2017.

  • New paper - "Book Reading Behavior on Goodreads Can Predict the Amazon Best Sellers" accepted in ASONAM 2017 - 16.05.2017.

  • Selected to participate in 5th Hiedelberg Laureate Forum 2017 (HLF 2017) - 12.04.2017

  • New paper - "Language Use Matters: Analysis of the Linguistic Structure of Question Texts can Characterize Answerability in Quora" accepted in ICWSM 2017 - 28.02.2017.

  • New poster - "Detection of Sockpuppets in Social Media" accepted in CSCW '17 - 14.12.2016.

  • My contribution "Understanding Popularity of Social Media Entities: from hashtags to question topics" accepted in CSCW '17 Doctoral Consortium - 08.12.2016.

  • Our work accepted into HICSS Doctoral Fellows program and Doctoral Consortium - 30.09.2016.

  • New paper - "A Large-scale Analysis of the Marketplace Characteristics in Fiverr" accepted in HICSS-50 - 12.09.2016.

  • Awarded "IBM Ph.D. Fellowship Award 2016-2017" - 08.07.2016.

  • New paper - "WASSUP? LOL : Characterizing Out-of-Vocabulary Words in Twitter" accepted in CSCW '16 Interactive posters - 19.12.2015.

  • Our CSCW paper "#Bieber + #Blast = #BieberBlast: Early prediction of popular hashtag compounds" has been selected as an honorable mention paper - 11.12.2015.

  • MIT Tech Review picks our CSCW paper "#Bieber + #Blast = #BieberBlast: Early prediction of popular hashtag compounds" as the "best of the rest from arXiv" this week! - 10.10.2015.

  • MIT Tech Review picks our HICSS paper "Out of vocabulary words decrease, running texts prevail and hashtags coalesce: Twitter as an evolving sociolinguistic system" as the "best of the rest from arXiv" this week! - 27.09.2015.

  • New paper - "Out of vocabulary words decrease, running texts prevail and hashtags coalesce: Twitter as an evolving sociolinguistic system" accepted in HICSS '16 - 10.09.2015.

  • New paper - "#Bieber + #Blast = #BieberBlast: Early prediction of popular hashtag compounds" accepted in CSCW '16 - 17.08.2015.

  • New paper - "Analysis and prediction of question topic popularity in community QA sites: A case study of Quora" accepted in ICWSM '15 - 10.03.2015.

  • New poster - "A stratified learning approach for predicting the popularity of Twitter Idioms" accepted in ICWSM '15 - 10.03.2015.

  • New paper - "An automatic approach to identify word sense changes in text media across timescales" accepted in JNLE '15 - 12.01.2015.

  • Awarded "Microsoft Research India PhD Fellowship" - 19.06.2014.

  • New paper - "Opinion dynamics in correlated time-varying social networks " accepted in Socialcom '14 - 18.04.2014.

  • New paper - "Understanding how learning affects agreement process in social networks" accepted in Socialcom '13 - 31.07.2013.

  • Our paper - "Emergence of fast agreement in an overhearing population: The case of the naming game", accepted in Europhysics Letters (EPL) - 28.02.2013.

  • New paper - "Opinion formation in time-varying social networks: The case of the naming game" accepted in Physical Review E - 25.08.2012