Titlebook: ;

hair-bulb

疲惫的老马

,Einführung in die Problemstellung,a driven social scientific approach, popularly known as “computational social science”. Although a slowly growing field within social sciences and largely spearheaded by interdisciplinary scientific teams, computational social science is profoundly changing the nature social scientific analysis. Soc

integral

发誓放弃

禁止

Personentarifreform und Zonentarifmbers interact, their activities can become socially entrained, constituting the group as an entity beyond the individual members. Capturing social entrainment provides a unique marker on when and how unique properties emerge at the group level. Sequential synchronization analysis is a method for as

craving

,Dehumanization of the “Nonhuman” Being,ance analysis using computational techniques from machine learning. In order to understand the feature space, we make use of a combination of machine learning methods: decision trees, feature selection as well as correlation analysis. These models are chosen for their easy interpretability. Alongsid

NAUT

消散

Response Surface Models to Analyze Nonlinear Group Phenomena,esponse). The following chapter describes the basic mathematical logic underlying RSM and provides an example using groups in the online video game .. The code using the PROC RSREG feature in SAS is used in the tutorial.

范例

Causal Inference Using Bayesian Networks,ortunities offered by data driven social scientific approach. Based on an actual research, this article explored a situation where a number of people embedded in teams were working together in a complex environment. This article first, explains the basic ideas of Bayesian Network Analysis – one set

pulmonary-edema

Group Analysis Using Machine Learning Techniques,collected using the game-based test-bed called SABRE. We give a hands-on experience by performing a four phase exhaustive group analysis on the SABRE dataset using Weka software, which is a user friendly GUI based machine learning tool.