Hasan Davulcu

Professor
CASCADE, Co-Director

CV, Bio, Magi.AI

CIPS-AI Research

Cognitive Information Processing Systems (CIPS-AI) Lab's research focuses on developing novel data mining techniques and tools for structuring and organizing unstructured sources such as text, Web and social network data into semantic machine processable information. Such representations enable creation of conceptual maps to allow users to search and browse without information overload.

Sociocultural Modeling and Persuasive AI Social Media and Web Mining

Information Extraction and Database Systems Behavioral Analytics for Detecting Fraud

Funding and Awards

Teaching

	CIDSE capstone students and courses are a great resource for you! Your employees can mentor our Capstone teams to create a working prototype. The deadlines for Fall and Spring Capstone Project submissions are August 22nd and January 13th.
For more information about Capstones click here.	You can submit a Capstone Project by clicking here.
SP 12 - CSE 591 - Semantic Web Mining SP 09 - ASU 101 - The ASU Experience/CSE SP 06 - CSE 412/598 - Database Management FA 05 - CSE 591 - Semantic Web Mining FA 05 - CSE 412/598 - Database Management SP 05 - CSE 591 - Semantic Web Mining	SP 05 - CSE 412/598 - Database Management, FA 04 - CSE 494 - Introduction to Data Mining SP 04 - CSE 591 - Semantic Web Mining FA 03 - CSE 412/598 - Database Management SP 03 - CSE 412/598 - Database Management FA 02 - CSE 591 - Semantic Web Mining

DBLP - Google Scholar - Research Gate

Socio-Cultural Modeling & Persuasive AI

• 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), Calabria, 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.

Activities

• 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.

Curriculum Vitae