To make sense of behavioral and social data, Behavior Analytics (BA) has emerged as a key research area in data science. The aim is to analyze data to gain a better understanding of behavior, which can support taking better decisions, but also to design machine learning models to offer tailored services to users such as personalized recommendation. Analyzing behavioral and social data raises several challenges such as (1) designing appropriate, scalable and efficient algorithms and models for analyzing behavioral data, (2) preserving the privacy of users for behavioral analytics, (3) analyzing behavior by taking into account the cognitive and social dimensions, (4) designing intelligent systems and services that are powered by behavioral and social data models, and (5) addressing the privacy and security issues in algorithms, models, and tools for social and behavioral analytics.
The 1st Special Session on Data Science for Social and Behavioral Analytics (DSSBA 2022) @ DSAA 2022 aims at bringing together the Data Science, Machine Learning, Business and Cognitive Science communities to present advances on the design of efficient, scalable and effective solutions for analyzing social and behavioral data.
The special session is open to research papers from academia and the industry.
Aim and Scope
This special session aims to provide a place for researchers from different fields to bring together both theoretical developments and applications of behavioral and social analytics. The main goal is to identify and share ideas on new research directions that could eventually yield high impact on the society. We are sure that this will bring an interesting session for the IEEE DSAA conference.
The topics of interest for the DSSBA special session include, but are not limited to following:
• Efficient and scalable algorithms for
behavioral and social analytics
• Evaluation of behavioral analytic models
• Social computing and behavior analytics
• Interpretation of data science models under cognitive theories
• Business process analysis
• Customer behavior analysis
• Social network analysis
• Abnormal behavior detection
• Group behavior analysis
• Behavior prediction
• Models for targeted and personalized behavior services
• Privacy-preserving behavior and social analytics
• Security models and algorithms for behavioral analytic
• Behavioral economics with data analysis
• Case studies and real-world applications of the above
The papers accepted by DSSBA 2022 will be published as regular papers in the IEEE DSAA 2022 proceedings in the IEEEXplore Digital Library and EI indexed.
For any questions, please contact the organizing committee.