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Computational Thinking Project This is the Computational Thinking final project. Python software that accepts in input a file in CSV format, containing metadata on existing academic articles. The goal is to perform analysis on such data, such as: returning the id of articles from a string or other metadata from an id; allowing to filter by field and value; obtaining a graph of the co-authors of a specific author; getting a graph of all the authors included in the file, concerning their co-authors.
| selected citations These citations are derived from selected sources. 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 |
| views | 6 |

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