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This is the accompanying code to the Master Thesis research project "Cities for Citizens: Identification of Public Values and their Conflicts in Urban Spaces" conducted in cooperation with the CUSP Lab @ TPM TU Delft and the City Science Lab Hamburg. Aiming to identify public values and their spatial conflicts, a total of nine Jupyter notebooks and one R script follow the research flow as outlined in the Master thesis document.
FOS: Social and economic geography, Spatial Analysis, Urban and Regional Planning, Structural Topic Modelling, Urban Planning, Natural Language Processing
FOS: Social and economic geography, Spatial Analysis, Urban and Regional Planning, Structural Topic Modelling, Urban Planning, Natural Language Processing
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |