Domenico De Stefano
Biographic Data
| ID | 635829 |
|---|---|
| NAME | Domenico De Stefano |
| GIVEN NAMES | Domenico |
| FAMILY NAME | De Stefano |
| SIGNATURE | DE STEFANO D |
| AFFILIATIONS | University of Trieste |
| ORCID | 0000-0003-1120-2524 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 25 |
| WORKS AS AUTHOR | 5 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2013 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 3 |
Quality issues in co-authorship data of a national scientific community
A stream of research on co-authorship, used as a proxy of scholars’ collaborative behavior, focuses on members of a given scientific community defined at discipline and/or national basis for which co-authorship data have to be retrieved. Recent literature pointed out that international digital libraries provide partial coverage of the entire scholar scientific production as well as under-coverage of the scholars in the community. Bias in retrievi…
Multiple factor analysis for time-varying two-mode networks
Most social networks present complex structures. They can be both multi-modal and multi-relational. In addition, each relationship can be observed across time occasions. Relational data observed in such conditions can be organized into multidimensional arrays and statistical methods from the theory of multiway data analysis may be exploited to reveal the underlying data structure. In this paper, we adopt an exploratory data analysis point of view…
Rural inter-firm networks as basis for multifunctional local system development
On the use of Multiple Correspondence Analysis to visually explore affiliation networks
The use of different data sources in the analysis of co-authorship networks and scientific performance
On the use of Multiple Correspondence Analysis to visually explore affiliation networks
Multiple factor analysis for time-varying two-mode networks
Most social networks present complex structures. They can be both multi-modal and multi-relational. In addition, each relationship can be observed across time occasions. Relational data observed in such conditions can be organized into multidimensional arrays and statistical methods from the theory of multiway data analysis may be exploited to reveal the underlying data structure. In this paper, we adopt an exploratory data analysis point of view…
Rural inter-firm networks as basis for multifunctional local system development
The use of different data sources in the analysis of co-authorship networks and scientific performance
Rural inter-firm networks as basis for multifunctional local system development
On the use of Multiple Correspondence Analysis to visually explore affiliation networks
Multiple factor analysis for time-varying two-mode networks
Most social networks present complex structures. They can be both multi-modal and multi-relational. In addition, each relationship can be observed across time occasions. Relational data observed in such conditions can be organized into multidimensional arrays and statistical methods from the theory of multiway data analysis may be exploited to reveal the underlying data structure. In this paper, we adopt an exploratory data analysis point of view…
Quality issues in co-authorship data of a national scientific community
A stream of research on co-authorship, used as a proxy of scholars’ collaborative behavior, focuses on members of a given scientific community defined at discipline and/or national basis for which co-authorship data have to be retrieved. Recent literature pointed out that international digital libraries provide partial coverage of the entire scholar scientific production as well as under-coverage of the scholars in the community. Bias in retrievi…
Computer Science (5 works) · Complex Network Analysis Techniques (4 works) · Network analysis (3 works) · Artificial Intelligence (2 works) · Data mining (2 works) · Data science (2 works) · Data Visualization and Analytics (2 works) · Human–computer interaction (2 works) · Information retrieval (2 works) · Machine learning (2 works)