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ACUMEN 2017 : Data Science for Human Performance in Social Networks | |||||||||||||||
Link: https://acumen17.wordpress.com/ | |||||||||||||||
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Call For Papers | |||||||||||||||
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. |
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