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Social Media Geographic Information: Recent Findings and Opportunities for Smart Spatial Planning
Published 2014-05-01Subjects: Get full text
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122
The Nitty–GRITties of Success: Computational Analysis of Grit From Language
Published 2019-01-01Subjects: Get full text
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123
The higher education space: connecting degree programs from individuals’ choices
Published 2019-12-01Subjects: Get full text
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124
Likelihood-free Bayesian inference for dynamic, stochastic simulators in the social sciences
Published 2022Subjects:Thesis -
125
Measuring Community Resilience During the COVID-19 Based on Community Wellbeing and Resource Distribution
Published 2022-12-01Subjects: Get full text
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126
Rejoinder to Lewis
Published 2015-01-01Subjects: “…Computation Social Science…”
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127
Mapping Climate Themes From 2008-2021—An Analysis of Business News Using Topic Models
Published 2023-01-01Subjects: Get full text
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128
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Simulate this! An Introduction to Agent-Based Models and their Power to Improve your Research Practice
Published 2017-07-01Subjects: Get full text
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Social prediction: a new research paradigm based on machine learning
Published 2021-09-01Subjects: Get full text
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132
Capturing toleration on social networks sites using internet-mediated research: June 30th Egyptian revolution case study
Published 2021-02-01Subjects: “…computational social sciences…”
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133
Engels@200: Friedrich Engels and Digital Capitalism. How Relevant Are Engels’s Works 200 Years After His Birth?
Published 2020-11-01Subjects: Get full text
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134
A virtual reality experiment to study pedestrian perception of future street scenarios
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135
Social Set Analysis: A Set Theoretical Approach to Big Data Analytics
Published 2016-01-01“…Current analytical approaches in computational social science can be characterized by four dominant paradigms: text analysis (information extraction and classification), social network analysis (graph theory), social complexity analysis (complex systems science), and social simulations (cellular automata and agent-based modeling). …”
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AI Pontryagin or how artificial neural networks learn to control dynamical systems
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Group mixing drives inequality in face-to-face gatherings
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140
How Well Do Reinforcement Learning Approaches Cope With Disruptions? The Case of Traffic Signal Control
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