Temporal Web Analytics Workshop

16th Temporal Web Analytics Workshop (TempWeb 2026)
in conjunction with The Web Conference 2026
June 30, 2026, Dubai, UAE

Papers will be included in the
The Web Conference Companion Proceedings
(archived in the ACM Digital Library)


Program

10:00 - 11:30 AI Incidents and Security Indicators

10:00 - 10:05
Introduction to TempWeb 2026
Omar Alonso (Amazon, CA, USA), Ricardo Baeza-Yates (KTH Royal Institute of Technology, Sweden & Universitat Pompeu Fabra, Catalonia, Spain) and Marc Spaniol (University of Caen Normandy, France)

10:05 - 11:05
Keynote
Global AI Incidents: Analysis and Trends
Marko Grobelnik (Jozef Stefan Institute, Slovenia)

11:05 - 11:30
The State of the Internet: Insights from Security Indicators
Florian Nettersheim (Federal Office for Information Security, Germany) and Stephan Arlt (Federal Office for Information Security, Germany)

11:30 - 12:00 Break

12:00 - 13:30 Temporal Analytics and Time Series

12:00 - 12:25
SLS: A Scalable Logic Subgraph Framework for Temporal Web Analytics and Hybrid Search
Jiajia Nie (Shandong University, China), Zekun Yin (Shandong University, China), Haoliang Sun (Shandong University, China), Weipeng Jiang (Huawei Technologies Company Ltd., China), Wei Han (Huawei Technologies Company Ltd., China) and Bo Bai (Huawei Technologies Company Ltd., China)

12:25 - 12:50
Scalable Anomaly Detection for Temporal Web Streams via Approximate Nearest Neighbor Search
Chuangen Gao (Qilu University of Technology (Shandong Academy of Sciences), China), Haoliang Sun (Shandong University, China), Zekun Yin (Shandong University, China), Weipeng Jiang (The Theory Lab, Central Research Institute, 2012 Labs, Huawei Technologies Company Ltd., China), Wei Han (The Theory Lab, Central Research Institute, 2012 Labs, Huawei Technologies Company Ltd., China) and Bo Bai (The Theory Lab, Central Research Institute, 2012 Labs, Huawei Technologies Company Ltd., China)

12:50 - 13:15
ImVision: Adapting Pretrained Vision Models for Time-Series Imputation
Alireza Shammasi (Macquarie University, Australia), Amin Beheshti (Macquarie University, Australia), Milad Mosharraf (Domain Group, Australia), Min Li (Domain Group, Australia), Pooyan Asgari (Domain Group, Australia) and Yuankai Qi (Macquarie University, Australia)

13:15-13:30
Early Warning Framework for Predicting Web-Scale Collapse
Mary Lai Salvana (University of Connecticut, CT, USA) and Oshani Seneviratne (Rensselaer Polytechnic Institute, NY, USA)

13:00 - 14:00 Break

14:00 - 15:30 Communities and Social Media

14:00 - 14:25
Community-Preserving Temporal Graph Backboning via Joint Spectral Analysis of Laplacians
Carmela Comito (Institute for High Performance Computing and Networking, National Research Council of Italy (ICAR-CNR), Italy) and Annalisa Socievole (Institute for High Performance Computing and Networking, National Research Council of Italy (ICAR-CNR), Italy)

14:25 - 14:50
Using Psycho-linguistic Features for Multiplex Community Detection in Temporal Social Networks
Karolina Sliwa (Institute for Complex Networks, WU Vienna, Austria), Ema Kahr (Institute for Complex Networks, WU Vienna, Austria) and Mark Strembeck (Institute for Complex Networks, WU Vienna, Austria)

14:50 - 15:15
Suicide Risk Prediction via Comment‑Influenced Mental State Trajectories
Jun Li (The Hong Kong Polytechnic University, Hong Kong, SAR, China), Xiangmeng Wang (The Hong Kong Polytechnic University, Hong Kong, SAR, China), Ziyan Zhang (The Hong Kong University of Science and Technology, Hong Kong, SAR, China), Qun Zhao (The Hong Kong Polytechnic University, Hong Kong, SAR, China), Hong Va Leong (The Hong Kong Polytechnic University, Hong Kong, SAR, China) and Qing Li (The Hong Kong Polytechnic University, Hong Kong, SAR, China)

15:15 - 15:30
Temporal Challenges for Data-Driven Scenario-Building for Climate-Neutral Cities Dirk Ahlers (NTNU - Norwegian University of Science and Technology, Norway), Sagnik Bhattacharjee (ECOTEN Urban Comfort, Czech Republic) and Jiří Tencar (UCEEB, Czech University in Prague, Czech Republic)

15:30 - 16:00 Break

16:00 - 17:30 Benchmarks and Datasets

16:00 - 16:25
PerQA: A Benchmark for Temporally Sensitive Questions on Heterogeneous Personal Data
Philipp Christmann (CISPA Helmholtz Center for Information Security, Germany) and Gerhard Weikum (Max Planck Institute for Informatics, Germany)

16:25 - 16:50
Benchmarking Temporal Web3 Intelligence: Lessons from the FinSurvival 2025 Challenge
Oshani Seneviratne (Rensselaer Polytechnic Institute, NY, USA), Fernando Spadea (RPI), Adrien Pavao (Codabench, MLChallenges, France), Aaron Green (Vassar College, NY, USA) and Kristin Bennett (Rensselaer Polytechnic Institute, NY, USA)

16:50 - 17:15
Mining Web Evolution: A Dataset of DOM Changes Across Websites
Hilal Taha (University of Luxembourg, Luxemburg), Jeongju Sohn (Kyungpook National University, South Korea) and Michail Papadakis (University of Luxembourg, Luxemburg)

17:15 - 17:30
Panel
Omar Alonso (Amazon, CA, USA), Ricardo Baeza-Yates (KTH Royal Institute of Technology, Sweden & Universitat Pompeu Fabra, Catalonia, Spain) and Marc Spaniol (University of Caen Normandy, France)

We are very happy to confirm that TempWeb will be held this year in conjunction with The Web Conference 2026 in Dubai, United Arab Emirates!

As in previous years, the objective of this workshop is to provide a venue for researchers of all domains (IE/IR, Web mining, etc.) where the temporal dimension opens an entirely new range of challenges and possibilities. The workshop's ambition is to keep shaping a community of interest on the research challenges and possibilities resulting from the introduction of the time dimension in Web analysis. The maturity of the Web, the emergence of large-scale repositories of Web material, makes this very timely and a growing number of research projects and services are emerging that have this focus in common. Having a dedicated workshop will help, we believe, to take a rich and cross-domain approach to this continuous research challenge with a strong focus on the temporal dimension. TempWeb focuses on investigating infrastructures, scalable methods, and innovative software for aggregating, querying, and analyzing heterogeneous data at Internet scale. Emphasis will be given to temporal data analysis along the time dimension for Web data that has been collected over extended time periods. A major challenge in this regard is the sheer size of the data it exposes and the ability to make sense of it in a useful and meaningful manner for its users. It is worth noting that this trend of using big data to make inferences is not specific to Web content analytics. A now-common strategy in post-genomic biology is to measure, quantitatively, the action of all (or as many as possible) of the genes at the level of the transcriptome, proteome, metabolome and phenotype, and to use computerized methods to infer gene function via various kinds of pattern recognition techniques. On the Web, to a large extent, we have also reached this point. Web scale data analytics therefore needs to develop infrastructures and extended analytical tools to make sense of these. Workshop topics of TempWeb therefore include, but are not limited to the following:

Important Dates (tentative):

- Paper submission deadline (extended): January 14, 2026 (AoE)
- Notification of acceptance: January 26, 2026 (AoE)
- Camera-ready copy deadline: February 2, 2026
- Workshop: June 30, 2026

Please post your submission (up to 6 pages for research papers or 2 pages for tool presentations and position papers) using the ACM template:
http://www.acm.org/publications/authors/submissions
at:
https://easychair.org/conferences?conf=www2026workshops
by selecting the Temporal Web Analytics Workshop 2026.

Previous Events

The workshop (series) has been launched in conjunction with WWW 2011 in Hyderabad (India) and has been with WWW each year since then.

Workshop Team

PC-Chairs and Organizers:

Marc Spaniol (Université de Caen Normandy, France)
Omar Alonso (Amazon, USA)
Ricardo Baeza-­Yates (KTH, Royal Institute of Technology Stockholm, Sweden; UPF, Spain; UChile)


Program Committee (tentative):

Eytan Adar (University of Michigan, USA)
Dirk Ahlers (Norwegian University of Science and Technology, Norway)
Ralitsa Angelova (Google, Switzerland)
Srikanta Bedathur (IIT Delhi, India)
Andras A. Benczur (Hungarian Academy of Science, Hungary)
Klaus Berberich (University of Applied Sciences, Saarbrücken, Germany)
Ricardo Campos (University of Beira Interior, Portugal)
Michael Dinzinger (University of Passau, Passau, Germany)
Govind (Amazon, India)
Adam Jatowt (University of Innsbruck, Austria)
Nikhil Jha (Polytechnic Institute of Turin, Italy)
Nattiya Kanhabua (SCG, Bangkok, Thailand)
Scott Kirkpatrick (Hebrew University Jerusalem, Israel)
Amit Kumar (Tarento Technologies Pvt Limited, India)
Frank McCown (Harding University, USA)
Behrooz Mansouri (Rochester Institute of Technology, USA)
Michael Nelson (Old Dominion University, USA)
Nikos Ntarmos (Huawei Technologies R&D, UK)
Kjetil Nørvåg (Norwegian University of Science and Technology, Norway)
Thomas Risse (University Library Johann Christian Senckenberg, Germany)
Nishavi Ranaweera (University of New South Wales, Australia)
Karolina Sliwa (Vienna University of Economics and Business, Austria)
Andreas Spitz (University of Konstanz, Germany)
Jannik Strötgen (University of Applied Sciences, Karlsruhe, Germany)
Torsten Suel (NYU Polytechnic, USA)
Masashi Toyoda (Tokyo University, Japan)
Gerhard Weikum (Max-Planck-Institut für Informatik, Germany)