Data Science for Human Performance in Social Networks

Event Dates

Nov 18, 2017 - Nov 18, 2017

Location

ICDM17, New Orleans, USA

Submission Deadline

Aug 07, 2017

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.