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This release is the version utilized in LAVITS'2019 paper. The source code is also available in our Gitlab repository. Features Massive query in MX servers of Brazilian Federal and State Universities; Match patterns to Google and Microsoft servers in the queries; Calculate the quantity and percentage of MX servers associated to Google, Microsoft, and own university servers (Others).
MX, University, Surveillance capitalism, E-Mail, Python
MX, University, Surveillance capitalism, E-Mail, Python
| 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 | 3 | |
| downloads | 8 |

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Downloads provided by UsageCounts