Soumya Sarkar

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 30

Top Topics

Terrorist Networks

External Knowledge

Quality Prediction

Wikipedia Pages

Top Venues

Proc. ACM Hum. Comput. Interact.

Publications

Soumya Sarkar, Nitin Singhal, Shweta Jain, Shashi Shekhar Jha
CGFLasso: Combating Multicollinearity using Domain Knowledge. COMAD/CODS (2024)
Kiran Adhikari, Sayantan Choudhury, Sourabh Kumar, Saptarshi Mandal, Nilesh Pandey, Abhishek Roy, Soumya Sarkar, Partha Sarker, Saadat Salman Shariff
Circuit Complexity in Z2 EEFT. Symmetry 15 (1) (2023)
Paramita Das, Sai Keerthana Karnam, Anirban Panda, Bhanu Prakash Reddy Guda, Soumya Sarkar, Animesh Mukherjee
Diversity matters: Robustness of bias measurements in Wikidata. CoRR (2023)
Paramita Das, Sai Keerthana Karnam, Anirban Panda, Bhanu Prakash Reddy Guda, Soumya Sarkar, Animesh Mukherjee
Diversity matters: Robustness of bias measurements in Wikidata. WebSci (2023)
Paramita Das, Bhanu Prakash Reddy Guda, Sasi Bhushan Seelaboyina, Soumya Sarkar, Animesh Mukherjee
Quality Change: Norm or Exception? Measurement, Analysis and Detection of Quality Change in Wikipedia. Proc. ACM Hum. Comput. Interact. 6 (CSCW1) (2022)
Sayantan Adak, Souvic Chakraborty, Paramita Das, Mithun Das, Abhisek Dash, Rima Hazra, Binny Mathew, Punyajoy Saha, Soumya Sarkar, Animesh Mukherjee
Mining the online infosphere: A survey. WIREs Data Mining Knowl. Discov. 12 (5) (2022)
Soumya Sarkar, Aditya Bhagwat, Animesh Mukherjee
A core-periphery structure-based network embedding approach. Soc. Netw. Anal. Min. 12 (1) (2022)
Paramita Das, Bhanu Prakash Reddy Guda, Debajit Chakraborty, Soumya Sarkar, Animesh Mukherjee
When expertise gone missing: Uncovering the loss of prolific contributors in Wikipedia. CoRR (2021)
Paramita Das, Bhanu Prakash Reddy Guda, Debajit Chakraborty, Soumya Sarkar, Animesh Mukherjee
When Expertise Gone Missing: Uncovering the Loss of Prolific Contributors in Wikipedia. ICADL (2021)
Paramita Das, Bhanu Prakash Reddy Guda, Sasi Bhushan Seelaboyina, Soumya Sarkar, Animesh Mukherjee
Quality change: norm or exception? Measurement, Analysis and Detection of Quality Change in Wikipedia. CoRR (2021)
Sayantan Adak, Souvic Chakraborty, Paramtia Das, Mithun Das, Abhisek Dash, Rima Hazra, Binny Mathew, Punyajoy Saha, Soumya Sarkar, Animesh Mukherjee
Mining the online infosphere: A survey. CoRR (2021)
Anindya Pattanayak, Tanusree Dutta, Piyush Pranjal, Pushpendra Singh, Pathik Sahoo, Soumya Sarkar, Anirban Bandyopadhyay
Cognitive Engineering for AI: An Octave Drawing Test for Building a Mathematical Structure of a Subconscious Mind. TCCE (2021)
Binny Mathew, Anurag Illendula, Punyajoy Saha, Soumya Sarkar, Pawan Goyal, Animesh Mukherjee
Hate begets Hate: A Temporal Study of Hate Speech. Proc. ACM Hum. Comput. Interact. 4 (CSCW2) (2020)
Bhanu Prakash Reddy, Sasi Bhusan, Soumya Sarkar, Animesh Mukherjee
NwQM: A neural quality assessment framework for Wikipedia. CoRR (2020)
Bhanu Prakash Reddy Guda, Sasi Bhushan Seelaboyina, Soumya Sarkar, Animesh Mukherjee
NwQM: A neural quality assessment framework for Wikipedia. EMNLP (1) (2020)
Soumya Sarkar, Bhanu Prakash Reddy, Sandipan Sikdar, Animesh Mukherjee
StRE: Self Attentive Edit Quality Prediction in Wikipedia. CoRR (2019)
Soumya Sarkar, Bhanu Prakash Reddy, Sandipan Sikdar, Animesh Mukherjee
StRE: Self Attentive Edit Quality Prediction in Wikipedia. ACL (1) (2019)
Binny Mathew, Anurag Illendula, Punyajoy Saha, Soumya Sarkar, Pawan Goyal, Animesh Mukherjee
Temporal effects of Unmoderated Hate speech in Gab. CoRR (2019)
Soumya Sarkar, Sandipan Sikdar, Sanjukta Bhowmick, Animesh Mukherjee
Using core-periphery structure to predict high centrality nodes in time-varying networks. Data Min. Knowl. Discov. 32 (5) (2018)
Sandipan Sikdar, Tanmoy Chakraborty, Soumya Sarkar, Niloy Ganguly, Animesh Mukherjee
ComPAS: Community Preserving Sampling for Streaming Graphs. AAMAS (2018)
Soumya Sarkar, Sandipan Sikdar, Animesh Mukherjee, Sanjukta Bhowmick
Using Core-Periphery Structure to Predict High Centrality Nodes in Time-Varying Networks. CoRR (2018)
Soumya Sarkar, Aditya Bhagwat, Animesh Mukherjee
Core2Vec: A Core-Preserving Feature Learning Framework for Networks. ASONAM (2018)
Soumya Sarkar, Animesh Mukherjee, Sanjukta Bhowmick
On Rich Clubs of Path-Based Centralities in Networks. CoRR (2018)
Sandipan Sikdar, Tanmoy Chakraborty, Soumya Sarkar, Niloy Ganguly, Animesh Mukherjee
ComPAS: Community Preserving Sampling for Streaming Graphs. CoRR (2018)
Soumya Sarkar, Aditya Bhagwat, Animesh Mukherjee
Core2Vec: A core-preserving feature learning framework for networks. CoRR (2018)
Soumya Sarkar, Sanjukta Bhowmick, Animesh Mukherjee
On Rich Clubs of Path-Based Centralities in Networks. CIKM (2018)
Soumya Sarkar, Sanjukta Bhowmick, Suhansanu Kumar, Animesh Mukherjee
Sensitivity and Reliability in Incomplete Networks: Centrality Metrics to Community Scoring Functions. CoRR (2016)
Vladimir Ufimtsev, Soumya Sarkar, Animesh Mukherjee, Sanjukta Bhowmick
Understanding Stability of Noisy Networks through Centrality Measures and Local Connections. CoRR (2016)
Vladimir Ufimtsev, Soumya Sarkar, Animesh Mukherjee, Sanjukta Bhowmick
Understanding Stability of Noisy Networks through Centrality Measures and Local Connections. CIKM (2016)
Soumya Sarkar, Suhansanu Kumar, Sanjukta Bhowmick, Animesh Mukherjee
Sensitivity and reliability in incomplete networks: Centrality metrics to community scoring functions. ASONAM (2016)
Arun Pandey, Roshni Chakraborty, Soumya Sarkar, Joydeep Chandra
Analyzing Link Dynamics in Scientific Collaboration Networks: A Social Yield Based Perspective. ASONAM (2015)