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NETWORK ANALYSIS OF THE STACK OVERFLOW TAGS
| Content Provider | Scilit |
|---|---|
| Author | Edrees, Z. |
| Copyright Year | 2020 |
| Description | In this paper we made analysis for the stack overflow tags by using different criteria's in network science, one of the advantages of network analysis is that complex of connections can be made cleared, we started this work in first step by extracted data from dataset after that applied network concepts node degree distribution, node importance (centrality measures), also we provided a brief demonstration of how we can use graph network and tools to analyze semi-structured text as (Tags). |
| Ending Page | 202 |
| Page Count | 8 |
| Starting Page | 195 |
| e-ISSN | 21949034 |
| DOI | 10.5194/isprs-archives-xliv-4-w3-2020-195-2020 |
| Journal | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Volume Number | XLIV-4/W3- |
| Language | English |
| Publisher | Copernicus GmbH |
| Publisher Date | 2020-11-23 |
| Access Restriction | Open |
| Subject Keyword | Cybernetical Science Stack Overflow Overflow Tags |
| Content Type | Text |
| Resource Type | Article |