Data Science for Human Performance in Social Networks

ACUMEN 2017


Social Sciences (General)



Submissions to the workshop should have both a strong data grounding and novel theoretical or methodological approaches. ACUMEN will discuss open questions, research goals, results and future works in the following (but not limited to) topics:
- Human performance in social systems including games, forums and experiments;
- Temporal networks and dynamics of social interactions;
- Analysis and detection of characteristic patterns in social networks;
- Community structure and collective behavior;
- Information propagation and behavioral diffusion;
- Data mining and machine learning for high-dimensional social network data;
- Statistical and causal inference methodologies;
- Detecting, modeling and simulating dynamics on and of social networks;
- Real-world applications in social networks;
- Data-driven and theoretical approaches to detection of influential spreaders;
- Link prediction and missing data recovery in social networks;
- Anomaly and change-point detection in social systems.