Hasan Davulcu

• Sociocultural Modeling and Persuasive AI
• Social Media and Web Mining
• Information Extraction and Database Systems
• Behavioral Analytics for Detecting Fraud

DBLP – Google Scholar – Research Gate

Socio-Cultural Modeling & Persuasive AI

• Trivedi, A., Cetinkaya, Y. M., Cowan, A. M., Newson, M., Vlahovic, N., Davulcu, H. 2026, Beyond the Black Box: Programmable AI and Explainable Text Analysis for Trustworthy Social Intelligence, IEEE Transactions on Computational Social Systems (TCSS), doi: 10.1109/TCSS.2026.3686080.
• Çetinkaya, Y. M., Trivedi, A., Yanamandala, V. D., Cowan, M. A., Toroslu, I. H., Davulcu, H., 2025, NARRA-SCALE: Scaling Users and Messaging through Narrative Detection in Retweet Networks, IEEE International Conference on Tools with Artificial Intelligence (ICTAI’25), pp. 187-194.
• Aksu, D., Toroslu, I.H., Davulcu, H., 2025, Neighborhood Search with Heuristic-Based Feature Selection for Click-Through Rate Prediction, Engineering Applications of Artificial Intelligence, Vol. 146, Issue. 0952-1976, pp. 110261.
• Çetinkaya, Y.M., Lee, Y., Külah, E., Toroslu, I.H., Cowan, M.A., Davulcu, H., 2024, Towards a Programmable Humanizing AI through Scalable Stance-Directed Architecture, IEEE Internet Computing, Special Issue on Civilizing and Humanizing AI, Vol. 28, Issue. 5, pp. 20-27.
• Lee, Y., Çetinkaya, Y., Külah, E., Toroslu, I.H., Davulcu, H., 2024, Masking the Bias: From Echo Chambers to Large Scale Aspect-Based Sentiment Analysis, In Proceedings of the IEEE/ACM International Conference on Advances in Social Network Analysis and Mining (ASONAM’24), Italy.
• Çetinkaya, Y.M., Külah, E., Toroslu, I.H., Davulcu, H., 2024, Targeted Marketing on Social Media: Utilizing Text Analysis to Generate Personalized Landing Pages, Social Network Analysis and Mining (SNAM), Vol. 14, Article number: 77, pp. 1-15.
• Lee, Y., Ozer, M., Corman, S., Davulcu, H., 2023, Identifying Behavioral Factors Leading to Differential Polarization Effects of Adversarial Botnets, ACM SIGAPP Appl. Comput. Rev., Vol. 23 (2), pp. 44–56.
• Alostad H, Dawiek S, Davulcu H., 2023, Q8VaxStance: Dataset Labeling System for Stance Detection towards Vaccines in Kuwaiti Dialect, Big Data and Cognitive Computing., Vol. 7 (3), pp. 151-165.
• Lee, Y., Ozer, M., Corman, S., Davulcu, H., 2023, Detecting and Measuring the Polarization Effects of Adversarial Botnets on Twitter, In Proceedings of the ACM/SIGAPP Symposium On Applied Computing (SAC’23), Association for Computing Machinery, Tallinn, Estonia.
• Mousavi, M., Davulcu, H., Ahmadi, M., Axelrod, R., Davis, R., and Atran, S., 2022, Effective Messaging on Social Media: What Makes Online Content Go Viral?, In Proceedings of the Web Conference 2022 (WWW’22), Association for Computing Machinery, New York, NY, USA.
• Çetinkaya, Y., Toroslu, I., Davulcu, H., 2022, Coherent Personalized Paragraph Generation for a Successful Landing Page, In Proceedings of the IEEE/ACM International Conference on Advances in Social Network Analysis and Mining (ASONAM’22), Istanbul, Turkey.
• Zhou, D., Zhang, S., Yildirim, M., Alcorn, S., Tong, H., Davulcu, H., He, J., 2021, High-Order Structure Exploration on Massive Graphs: A Local Graph Clustering Perspective, ACM Transactions on Knowledge Discovery from Data (TKDD), Vol. 15(2), pp. 18:1-18:26.
• Mousavi, M., Steiner, E., Corman, S., Ruston, S., Weber, D., Davulcu, H., 2021, STIF: Semi-Supervised Taxonomy Induction using Term Embeddings and Clustering, ACM International Conference on Natural Language Processing and Information Retrieval (NLPIR’21), Hainan, China.
• Salehi, A., Davulcu, H., 2020, Graph Attention Auto-Encoders, IEEE International Conference on Tools with Artificial Intelligence (ICTAI’20), pp. 989-996.
• Çetinkaya, Y.M., Toroslu, I.H., Davulcu, H., 2020, Developing a Twitter Bot that can join a Discussion using State-of-the-art Architectures, Social Network Analysis and Mining, Vol. 10, Article number: 51, pp. 1-21.
• Alvari, H., Beigi, G., Sarkar, S., Ruston, S., Corman, S., Davulcu, H., Shakarian, P., 2020, A Feature-Driven Approach for Identifying Pathogenic Social Media Accounts, International Conference on Data Intelligence and Security (ICDIS’20), pp. 26-33, Texas, USA.
• Salehi, A., Ozer, M., Davulcu, H., 2018, Sentiment-driven Community Profiling and Detection on Social Media, Proc. of the 29th on ACM Hypertext and Social Media (HT’18), pp. 229-237, Baltimore, MD.
• Salehi, A., Davulcu, H., 2018, Detecting Antagonistic and Allied Communities on Social Media, IEEE/ACM International Conference on Advances in Social Network Analysis and Mining (ASONAM’18), pp. 99-106, Barcelona, Spain.
• Yildirim, M., Ozer, M., Davulcu, H., 2018, Cost-Sensitive Decision Making for Online Fraud Management, International Conference on Artificial Intelligence Applications and Innovations (AIAI’18), pp. 323-336, Rhodes, Greece.
• Alzahrani, S., Gore, C., Salehi, A., Davulcu, H., 2018, Finding Organizational Accounts Based on Structural and Behavioral Factors on Twitter, International Conference Social, Cultural, and Behavioral Modeling (SBP-BRiMS’18), pp. 164-175, Washington, DC.
• Ozer, M., Yildirim, M., Davulcu, H., 2018, Implicit Negative Link Detection on Online Political Networks via Matrix Tri-factorizations,, New Review of Hypermedia and Multimedia (NRHM), vol. 24(2), pp. 63-87.
• Zhou, D., He, J., Davulcu, H., Maciejewski, R., 2018, Motif-Preserving Dynamic Local Graph Cut, Big Data 2018, pp. 1156-1161, Seattle, WA.
• Alashri, S., Tsai, J., Koppela, A., Davulcu, H., 2018, Snowball: Extracting Causal Chains from Climate Change Text Corpora, IEEE International Conference on Data Intelligence and Security (ICDIS’18), pp. 234-241, South Padre Island, TX.
• Koç, S., Ozer, M., Toroslu, H., Davulcu, H., Jordan, J., 2018, Triadic Co-Clustering of Users, Issues and Sentiments in Political Tweets,, Expert Systems with Applications (ESWA), vol. 100, pp. 79-94.
• Zhou,D., Zhang, S., Yildirim, M., Alcorn, S., Tong, H., Davulcu, H., He, J., 2017, A Local Algorithm for Structure-Preserving Graph Cut, ACM SIGKDD Conference of Knowledge, Discovery, and Data Mining (KDD’2017), Halifax, Nova Scotia.
• Ozer, M., Yildirim, Y., Davulcu, H., 2017, Negative Link Prediction and Its Applications in Online Political Networks, ACM Conference on Hypertext and Social Media (ACM Hypertext 17), Prague, Czech Republic.
• Zhang, S., Zhou, D., Yildirim, Y., Alcorn, S., He, J., Davulcu, H., Tong, H., 2017, HiDDen: Hierarchical Dense Subgraph Detection with Application to Financial Fraud Detection, SIAM International Conference on Data Mining (SDM17), Texas, USA.
• Alostad, H., Davulcu, H., 2017, Directional Prediction of Stock Prices using Breaking News on Twitter, Web Intelligence Journal, Vol. 15(1), pp. 1-17.
• Yang, P., Davulcu, H., Zhu, Y., He, J., 2016, A Generalized Hierarchical Multi-Latent Space Model for Heterogeneous Learning, IEEE Transactions on Knowledge and Data Engineering, Vol. 28(12), pp. 3154-3168.
• Ozer, M., Kim, N., Davulcu, H., 2016, Community Detection in Political Twitter Networks using Nonnegative Matrix Factorization Methods, IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM’16), San Francisco, CA.
• Alzahrani, S., Ceran, B., Alashri, S., Ruston, S., Corman, S., Davulcu, H., 2016, Story Forms Detection in Text through Concept-Based Co-Clustering, Proceedings of the IEEE International Conferences on Social Computing and Networking (SocialCom’16), pp. 258-265, Atlanta, GA.
• Koc, S., Toroslu, I.H., Davulcu, H., 2016, Co-Clustering Signed 3-Partite Graphs, International Symposium on Foundations and Applications of Big Data Analytics (FAB’16), San Francisco, CA.
• Lu, Y., Steptoe, M., Burke, S., Wang, H., Tsai, J., Davulcu, H., Montgomery, D., Corman, S.R., Maciejewski, R., 2016, Exploring Evolving Media Discourse Through Event Cueing, IEEE Transactions on Visualization and Computer Graphics, Vol. 22(1), pp. 220-229.
• Ozer, M., Keles, I., Toroslu, H., Karagoz, P., Davulcu, H., 2016, Predicting the Location and Time of Mobile Phone Users by Using Sequential Pattern Mining Techniques, The Computer Journal, Oxford University Press, Vol. 59(6), pp. 908-122.
• “Climate Change” Frames Detection and Categorization Based on Generalized Concepts, International Journal of Semantic Computing (IJSC), Vol. 10(2), pp. 147-166.
• Alashri, S., Alzahrani, S., Bustikova, L., Siroky, D., Davulcu, H., 2015, What Animates Political Debates? Analyzing Ideological Perspectives in Online Debates between Opposing Parties, Proceedings of the ASE/IEEE International Conference on Social Computing (SocialCom-15), Stanford, CA.
• Ceran, B., Kedia, N., Corman, S.R., Davulcu, H., 2015, Story Detection Using Generalized Concepts and Relations, Proceedings of International Symposium on Foundation of Open Source Intelligence and Security Informatics (FOSINT-SI), in conj. with IEEE ASONAM 2015, Paris, France.
• Alostad, H., M., Davulcu, H., 2015, Directional Prediction of Stock Prices using Breaking News on Twitter, IEEE/WIC/ACM International Conference on Web Intelligence (WI’15), Singapore.
• Aktunc, R., Ozer, M., Toroslu, I.H., Davulcu, H., 2015, A Dynamic Modularity Based Community Detection Algorithm for Large-scale Networks, International Symposium on Foundations and Applications of Big Data Analytics (FAB’15), Paris, France.
• Dawei, Z., He, J., Candan, K. S., Davulcu, H., 2015, MUVIR: Multi-View Rare Category Detection, International Joint Conference on Artificial Intelligence (IJCAI’15), Buenos Aires, Argentina.
• Wang, Z., Lai, M.J., Lu, Z., Fan, W., Davulcu, H., Ye, J., 2015, Orthogonal Rank-One Matrix Pursuit for Low Rank Matrix Completion,SIAM Journal on Scientific Computing (SISC), Vol. 37-1.
• Alzahrani, S., Alashri, S., Koppela, A., Davulcu, H., Toroslu, I., 2015, A Network-Based Model for Predicting Hashtag Breakouts in Twitter,Proceedings of the International Conference on Social Computing, Behavioral-Cultural Modeling, & Prediction (SBP15), Washington DC, USA, pp. 3-12.
• Wang, Z., Lai, M.J., Lu, Z., Fan, W., Davulcu, H., Ye, J., 2014, Orthogonal Rank-One Matrix Pursuit for Low Rank Matrix Completion, Proceedings of the 31st International Conference on Machine Learning, (ICML 2014), Beijing, China, pp. 91-99.
• Kim, N., Tikves, S., Wang, Z., Githens-Mazer, J., Davulcu, H., 2013, MultiScale Modeling of Islamic Organizations in UK,Proceedings of the ASE/IEEE International Conference on Social Computing (SocialCom-13), Washington D.C., USA.[Best Paper]
• Gokalp, S., Temkit, M., Davulcu, H., Toroslu, H., 2013, Partitioning and Scaling Signed Bipartite Graphs for Polarized Political Blogosphere,Proceedings of the ASE/IEEE International Conference on Social Computing (SocialCom-13), Washington D.C., USA.
• Mazumder, A., Das, A., Kim, N., Gokalp, S., Sen, A., Davulcu, H., 2013, Spatio-Temporal Signal Recovery from Political Tweets in Indonesia, Proceedings of the ASE/IEEE International Conference on Social Computing (SocialCom-13), Washington D.C., USA.
• Omeroglu, N., Toroslu, H., Gokalp, S., Davulcu, H., 2013, K-partitioning of Signed or Weighted Bipartite Graphs, Proceedings of the ASE/IEEE International Conference on Social Computing (SocialCom-13), Washington D.C., USA.

• Kim, N., Gokalp, S., Davulcu, H., Woodward M., 2013, LookingGlass: A Visual Intelligence Platform for Tracking Online Social Movements, Proceedings of International Symposium on Foundation of Open Source Intelligence and Security Informatics (FOSINT-SI), in conjunction with IEEE ASONAM 2013, Niagara Falls, Canada.

   

Agentic AI Workflows – Logical Foundations

• Hasan Davulcu, Michael Kifer, I. V. Ramakrishnan: CTR-S: A Logic for Specifying Contracts in Semantic Web Services, WWW 2004: 144-153
• Hasan Davulcu, Guizhen Yang, Michael Kifer, I. V. Ramakrishnan: Computational Aspects of Resilient Data Extraction from Semistructured Sources, ACM PODS 2000: 136-144
• Hasan Davulcu, Juliana Freire, Michael Kifer, I. V. Ramakrishnan: A Layered Architecture for Querying Dynamic Web Content, ACM SIGMOD 1999: 491-502
• Hasan Davulcu, Michael Kifer, C. R. Ramakrishnan, I. V. Ramakrishnan: Logic Based Modeling and Analysis of Workflows, ACM PODS 1998: 25-33

• PC Member, World Wide Web Conference (WWW 2013), Semantic Web Track, May 13, 2013, Brazil.
• PC Member, International Conference on Data Engineering (ICDE 2007), April 15-20, 2007, Turkey.
• PC Member, Very Large Data Bases (VLDB 2005), Aug 30 – Sept 2, 2005, Trondheim, Norway.
• PC Member, International Semantic Web Conference (ISWC 2004), November 7-11, 2004, Japan.
• Co-Chair, Workshop on Information Integration on the Web, VLDB 2004, August 29, 2004, Toronto.
• PC Member, Indian International Conference on Artificial Intelligence (IICAI-05), Dec 20, 2005, India.
• PC Member, National Conference on Artificial Intelligence (AAAI-04), July 25-29, 2004, California.
• PC Member, International Conference on Data Engineering (ICDE 2004), March 30, 2004, Boston.
• PC Member, Workshop on Information Integration on the Web , IJCAI 2003, August 9, 2003, Mexico.