Selective Publications


Subhabrata Dutta, Dipankar Das, Tanmoy Chakraborty. Modeling Engagement Dynamics of Online Discussions using Relativistic Gravitational Theory, 19th IEEE International Conference on Data Mining (ICDM), Beijing, China, Nov 8-11, 2019. Code & Dataset (Acceptance rate: 9.08%)


Subhabrata Dutta, Gunkirat Kaur, Shreyans Mongia, Arpan Mukherjee, Dipankar Das, Tanmoy Chakraborty. Into the Battlefield: Quantifying and Modeling Intra-community Conflicts in Online Discussion, 28th ACM International Conference on Information and Knowledge Management (CIKM), Beijing, China, Nov 3-7, 2019. Code & Dataset (Acceptance rate: 19.4%)


Zhe Cui, Noseong Park, Tanmoy Chakraborty. Incremental Community Discovery Using Latent Network Representation and Probabilistic Inference, Knowledge and Information Systems (KAIS), 2019. (IF: 2.247) Code & Dataset Paper


Shartika Dhawan, Siva Charan Reddy Gangireddy, Shiv Kumar, Tanmoy Chakraborty. Spotting Collective Behaviour of Online Frauds in Customer Reviews, International Joint Conference on Artificial Intelligence (IJCAI), 2019. Code & Dataset Paper (Acceptance rate: 13.6%)


Deepak Thukral, Adesh Pandey, Rishab Gupta, Vikram Goyal, Tanmoy Chakraborty. DiffQue: Estimating Relative Difficulty of Questions in Community Question Answering Services. ACM Transactions on Intelligent Systems and Technology (TIST), 2019. (IF: 3.19) Code & Dataset Paper


Arpan Mukherjee, Shubhi Tiwari, Tanya Chowdhury, Tanmoy Chakraborty. Automatic Curation of Content Tables for Educational Videos, 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, Paris, France, July 21-25, 2019. (Demo) Code & Dataset Paper


Dattatreya Mohapatra, Abhishek Maiti, Sumit Bhatia, Tanmoy Chakraborty. Go Wide, Go Deep: Quantifying the Impact of Scientific Papers through Influence Dispersion Trees, ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL), UIUC, USA, June 2-6, 2019. Code & Dataset Pre-print (Best Student Paper Award)


Sudhesh Solomon, Srinivas P Y K L, Amitava Das, Björn Gambäck, Tanmoy Chakraborty. Understanding the Psycho-Sociological Facets of Homophily in Social Network Communities. IEEE Computational Intelligence Magazine (IEEE CIM), Special issue on Computational Intelligence for Affective Computing and Sentiment Analysis, 14:2, pp. 28-40, 2019. (IF: 6.611) Code & Dataset Pre-print Paper


Tanmoy Chakraborty, Sushil Jajodia, Jonathan Katz, Antonio Picariello, Giancarlo Sperlì, V.S. Subrahmanian. FORGE: A Fake Online Repository Generation Engine for Cyber Deception. IEEE Transactions on Dependable and Secure Computing (TDSC), 2019. (IF: 4.41)


Divam Gupta, Kushagra Singh, Soumen Chakrabarti, Tanmoy Chakraborty. Multi-task Learning for Target-dependent Sentiment Classification, Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Macau, China, April 14-17, 2019. (Acceptance rate: 24.7%) Code & Data Pre-print


Di Jin, Xinxin You, Weihao Li, Dongxiao He, Peng Cui, Franc ̧oise Fogelman-Soulie, Tanmoy Chakraborty. Incorporating Network Embedding into Markov Random Field for Better Community Detection, 33rd AAAI Conference on Artificial Intelligence (AAAI), Honolulu, Hawaii, USA, Jan 27 - Feb 1, 2019. (Acceptance Rate: 16%)


Divam Gupta, Tanmoy Chakraborty, Soumen Chakrabarti. GIRNet: Interleaved Multi-Task Recurrent State Sequence Models, 33rd AAAI Conference on Artificial Intelligence (AAAI), Honolulu, Hawaii, USA, Jan 27 - Feb 1, 2019. (Acceptance Rate: 16%)


Aditya Chetan, Brihi Joshi, Hridoy Dutta, Tanmoy Chakraborty. CoReRank: Ranking to Detect Users Involved in Blackmarket-based Collusive Retweeting Activities. 12th ACM International Conference on Web Search and Data Mining (WSDM), February 11-15, 2019, Melbourne, Australia. (Acceptance Rate: 16%) Code & Data


Tanmoy Chakraborty, Sushil Jajodia, Noseong Park, Andrea Pugliese, Edoardo Serra, V.S. Subrahmanian. Hybrid Adversarial Defense: Merging Honeypots and Traditional Security Methods, Journal of Computer Security, 26:5, pp. 615–645, 2018. Paper


Sandipan Sikdar, Tanmoy Chakraborty, Soumya Sarkar, Niloy Ganguly, Animesh Mukherjee. ComPAS: Community Preserving Sampling for Streaming Graphs, International Conference on Autonomous Agents and Multiagent Systems (AAMAS), Stockholm, Sweden, pp. 184-192, July 10-15, 2018. Paper


Srishti Gupta, Abhinav Khattar, Arpit Gogia, Ponnurangam Kumaraguru, Tanmoy Chakraborty. Collective Classification of Spam Campaigners on Twitter: A Hierarchical Meta-Path Based Approach, The Web Conference (WWW), Lyon, France, pp. 529-538, 2018.


Tanmoy Chakraborty, Fabio Pierazzi, V.S.Subrahmanian. EC2: Ensemble Clustering and Classification for Predicting Android Malware Families, IEEE Transactions on Dependable and Secure Computing (IEEE TDSC) , 2017. (IF: 2.926) Paper


Upendra Kumar, Aishwarya. N. Reganti, Tushar Maheshwari, Tanmoy Chakroborty , Bjorn Gambäck, Amitava Das. Inducing Personalities and Values from Language Use in Social Network Communities , Information System Frontiers (Springer) Special issue on "Behavioral-Data Mining in Information Systems and the Big Data Era", Vol 20, pp. 1219-1240, 2018. Paper (IF: 2.521)


Tanmoy Chakraborty, Ayushi Dalmia, Animesh Mukherjee, Niloy Ganguly. Metrics for Community Analysis: A Survey, ACM Computing Surveys, 50:4, pp. 54:1--54:37, 2017. (IF: 5.243)


Tanmoy Chakraborty, Des Chandhok, V.S. Subrahmanian. MC3: A Multi-Class Consensus Classification Framework, 21th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Jeju, South Korea, May 23-26, 2017, pp. 343-355. Code Paper


Mayank Singh, Tanmoy Chakraborty, Animesh Mukherjee, Pawan Goyal. Is this conference a top-tier? ConfAssist: An assistive conflict resolution framework for conference categorization , Journal of Informetrics (JOI) , 10:4, pp. 1005-1022, 2016. (IF: 2.868) Paper


Tanmoy Chakraborty, Sriram Srinivasan, Niloy Ganguly, Animesh Mukherjee, Sanjukta Bhowmick. Permanence and Community Structure in Complex Networks, , ACM Transactions on Knowledge Discovery from Data ( TKDD ), 11:2, 14:1-14:34, 2016. (included in ACM's 21st Annual Best of Computing)


Tanmoy Chakraborty, Suhansanu Kumar, Niloy Ganguly, Animesh Mukherjee, Sanjukta Bhowmick. GenPerm: A Unified Method for Detecting Non-overlapping and Overlapping Communities , IEEE Transactions on Knowledge and Data Engineering (TKDE) , 28:8, ISSN 1041-4347, pp. 2101-2114, April 2016. Code


Tanmoy Chakraborty , Noseong Park, V.S. Subrahmanian. Ensemble-Based Algorithms to Detect Disjoint and Overlapping Communities in Networks. In IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), San Francisco, USA, August 18-21, 2016. (Acceptance Rate: 13.60%) (Best paper Runner Up) Paper


Satarupa Guha, Tanmoy Chakraborty, Samik Datta, Mohit Kumar and Vasudeva Varma. TweetGrep: Weakly Supervised Joint Retrieval and Sentiment Analysis of Topical Tweets. 10th International AAAI Conference on Web and Social Media (ICWSM), Cologne, Germany, May 17-20, 2016, pp. 161-170. (Acceptance rate: 17%)


Tanmoy Chakraborty, Amrith Krishna, Mayank Singh, Pawan Goyal, Niloy Ganguly, Animesh Mukherjee. FeRoSA: A faceted recommendation system for scientific articles, In 20th Pacific Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Auckland, New Zealand, April 19-22, 2016, pp. 528-541. Online Tool (Acceptance rate: 17%)


Tanmoy Chakraborty , Suhansanu Kumar, Pawan Goyal, Niloy Ganguly, Animesh Mukherjee. On the categorization of scientific citation profiles in computer sciences, Communications of the ACM (CACM), 58: 9, ISSN 0001-0782, pp. 82-90. 2015. (IF: 2.863)


Mayank Singh, Vikas Patidar, Suhansanu Kumar, Tanmoy Chakraborty, Animesh Mukherjee, Pawan Goyal. The role of citation context in predicting long-term citation profiles: an experimental study based on a massive bibliographic text dataset, In 24th ACM International Conference on Information and Knowledge Management (CIKM) , Melbourne, Australia, October 19-23, 2015.


Tanmoy Chakraborty, Sikhar Patranabis, Pawan Goyal, Animesh Mukherjee. On the formation circles in co-authorship networks, In Proceedings of 21th ACM SIGKDD Conference on Knowledge Discovery and Data Mining , Sydney, August 10 - 13, 2015. (Acceptance rate: 19.41%) Paper (Video)


Mayank Singh, Tanmoy Chakraborty, Animesh Mukherjee, Pawan Goyal. ConfAssist: A Conflict resolution framework for assisting the categorization of Computer Science conferences, In Joint Conference on Digital Library (JCDL) , Tennessee, USA, June 21-25, 2015. Paper


Suhansanu Kumar, Pawan Goyal, Niloy Ganguly, Animesh Mukherjee. Towards a Stratified Learning Approach to Predict Future Citation Counts, Digital Libraries (ACM/IEEE JCDL, TPDL) , London, September 8 -12, 2014. Paper (Acceptance rate: 28%)


Tanmoy Chakraborty, Sriram Srinivasan, Niloy Ganguly, Animesh Mukherjee, Sanjukta Bhowmick. On the permanence of vertices in network communities, 20th ACM SIGKDD Conference on Knowledge Discovery and Data Mining , New York city, August 24 - 27, 2014, pp. 1396-1405. (Acceptance rate: 14.6%) Paper , Slides , Poster , Supporting Materials, Video (Invited at IBM I-CARE 2014, Best poster award in Microsoft Techvista 2015, Invited as a premier paper at COMAD 2015)


Tanmoy Chakraborty, Sriram Srinivasan, Niloy Ganguly, Sanjukta Bhowmick, Animesh Mukherjee. Constant Communities in Complex Networks , Nature Scientific Reports, 3 , 1825, 2013. (IF: 5.078) Pre-print


Tanmoy Chakraborty, Sandipan Sikdar, Vihar Tammana, Niloy Ganguly, Animesh Mukherjee. Computer Science Fields as Ground-truth Communities: Their Impact, Rise and Fall , In IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) , Niagara Falls, Canada, August 25-28, 2013, pp. 426-433. Sample dataset ,Read Me , Slides , Paper


Sriram Srinivasan, Tanmoy Chakraborty, and Sanjukta Bhowmick. Identifying Base Clusters And Their Application To Maximizing Modularity, Contemporary Mathematics. Graph partitioning and Graph Clustering. (D. A. Bader, H. Meyerhenke, P. Sanders and D. Wagner eds.), AMS-DIMACS, pp. 141-156, 2012.