EAI PerSoM 2023 will be held as an on-site conference and if needed, Accepted Authors who are unable to attend the event in person will be given an option to present remotely.
The fast expansion and pervasive use of online resources like the Web, Microblogging sites and Social Media is making available an enormous and continuous stream of user-generated contents containing invaluable information that can be used to understand, in near real time, human life dynamics worldwide. Besides, social geo-tagged data combines textual, temporal, geographical and network data, opening up unique opportunities to study the interplay between human mobility and social structure.
Artificial intelligence (AI) is transforming our world, changing the landscape of key sectors like healthcare, mobility, finance, urban contexts. With the increasing availability of geo-tagged social data and rapid progress of machine learning and deep learning algorithms, AI and big data analytics are enabling unprecedented analysis of such novel data sources. Pervasive knowledge and collective intelligence is a cutting-edge research area across diverse fields and disciplines with the common objective of addressing challenging issues and questions about human phenomena and behavior through the lens of web and social media while introducing novel tools to model and process huge amounts of unstructured big data.
The Conference will be a new venue for bringing researchers from different disciplines in the fields of Pervasive Computing, Web and Social Media to discuss and promote ideas and practices about pervasive knowledge and collective Intelligence in this fields. In this regard, we solicit theoretical as well as application-oriented research studies on relevant topics related to new perspectives in social theories, complex networks, data science, knowledge management, comprising methodologies, algorithms, evaluation benchmarks and tools for the development and application of algorithms for analyzing web and social media.
Welcome to the EAI Community
Let the EAI Community help you build your career with collaborative research, objective evaluation, and fair recognition:
- Get more visibility for your paper and receive a fair review with Community Review,
- Earn credits regardless of your paper’s acceptance and increase your EAI Index for new membership ranks and global recognition,
- Find out if your research resonates – get real-time evaluation of your presentation on-site via EAI Compass.
We welcome contributions from the following fields:
- Information and Web mining;
- Trend and Hot Topic Identification;
- Social Media for Smart Cities;
- Social Network Analysis;
- Semantic Network Analysis;
- Trust, Reputation, social control and privacy;
- Collective Intelligence;
- Information Reliability;
- Web and Content authenticity;
- Dynamic Social Media Monitoring;
- Sentiment and Natural Language Processing;
- Early warnings of disease outbreaks such as seasonal influenza and pandemics;
- Centrality/influence of social media publications and authors;
- Classifying and clustering of temporal data in high dimensional spaces;
- Novel architectures for scalable data analysis and mining;
- Mobility Mining;
- Community discovery and analysis; Large-scale graph algorithms for social network analysis;
- Spatio-temporal prediction of pandemics.
All registered papers will be submitted for publishing by Springer and made available through SpringerLink Digital Library.
Proceedings will be submitted for inclusion in leading indexing services, such as Web of Science, Compendex, Scopus, DBLP, EU Digital Library, Google Scholar, IO-Port, MathSciNet, Inspec, and Zentralblatt MATH.
Additional publication opportunities:
- EAI Transactions series (Open Access)
- EAI/Springer Innovations in Communications and Computing Book Series
(titles in this series are indexed in Ei Compendex, Web of Science & Scopus)
- Regular papers should be up to 12-15+ pages in length.
- Short papers should be 6-11 pages in length.
All conference papers undergo a thorough peer review process prior to the final decision and publication. This process is facilitated by experts in the Technical Program Committee during a dedicated conference period. Standard peer review is enhanced by EAI Community Review which allows EAI members to bid to review specific papers. All review assignments are ultimately decided by the responsible Technical Program Committee Members while the Technical Program Committee Chair is responsible for the final acceptance selection. You can learn more about Community Review here.