Automated Author ProfileAggarwal Hardik
IIT Kharagpur
Aggarwal Hardik
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 1.9 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
This zip contains three CSV files and one folder. This dataset contains information for the recent ten distributions. developer_attributes.csv: There are seven columns in this file. "distro" (str) represents distribution name. "source" (str) denotes source package name. "person_id" (str) indicates developer identity. "closes" (int), "high" (int), "medium" (int), "low" (int) are the features. source_bugs.csv: In this file, three columns are present. "distro" (str) represents the distribution name. "source" (str) represents the source package name. "bug_count" (int) denotes the number of bugs that source package has at a particular distribution. source_sizes.csv: In this file, three columns are present. "distro" (str) represents the distribution name. "source" (str) represents source package name. "size" (int) denotes the size of the package. Dependency folder: Within this folder, ten dependency lists are present. Each file contains two columns i.e "start" (str) and "target" (str). Both of them represent source packages. So, we read as the "start" source package depends on "target" source package. Here is the arxiv version of our paper: https://arxiv.org/abs/2101.08729. Here is the portal link: https://sites.google.com/view/rima-hazra/swnet
Authors
- Hazra Rima ;
- Aggarwal Hardik ;
- Goyal Pawan ;
- Mukherjee Animesh ;
- Chakrabarti Soumen
This zip contains three CSV files and one folder. This dataset contains information for the recent ten distributions. developer_attributes.csv: There are seven columns in this file. "distro" (str) represents distribution name. "source" (str) denotes source package name. "person_id" (str) indicates developer identity. "closes" (int), "high" (int), "medium" (int), "low" (int) are the features. source_bugs.csv: In this file, three columns are present. "distro" (str) represents the distribution name. "source" (str) represents the source package name. "bug_count" (int) denotes the number of bugs that source package has at a particular distribution. source_sizes.csv: In this file, three columns are present. "distro" (str) represents the distribution name. "source" (str) represents source package name. "size" (int) denotes the size of the package. Dependency folder: Within this folder, ten dependency lists are present. Each file contains two columns i.e "start" (str) and "target" (str). Both of them represent source packages. So, we read as the "start" source package depends on "target" source package. Here is the arxiv version of our paper: https://arxiv.org/abs/2101.08729. Here is the portal link: https://sites.google.com/view/rima-hazra/swnet
Authors
- Hazra Rima ;
- Aggarwal Hardik ;
- Goyal Pawan ;
- Mukherjee Animesh ;
- Chakrabarti Soumen