What is network science?

What is network science?

2013 | ULRIK BRANDES, GARRY ROBINS, ANN McCRAINE, STANLEY WASSERMAN
This editorial introduces the emerging field of network science, emphasizing its interdisciplinary nature and the need for a unified approach. The authors argue that network science is not just a collection of tools but a distinct scientific discipline that studies relational data. They highlight the importance of understanding network structures, dependencies, and the implications of network data for various fields. The editorial stresses the need for empirical research and the development of a shared conceptual framework to advance network science. It also discusses the distinction between network science and network theory, emphasizing that network science is a broader field that includes both theoretical and applied aspects. The authors advocate for a data-oriented perspective, recognizing the unique structure of network data and its implications for analysis. They also emphasize the importance of interdisciplinary collaboration and the need for a unified approach to network science. The editorial concludes by outlining the journal's mission to promote the development of network science through the publication of high-quality research across various disciplines.This editorial introduces the emerging field of network science, emphasizing its interdisciplinary nature and the need for a unified approach. The authors argue that network science is not just a collection of tools but a distinct scientific discipline that studies relational data. They highlight the importance of understanding network structures, dependencies, and the implications of network data for various fields. The editorial stresses the need for empirical research and the development of a shared conceptual framework to advance network science. It also discusses the distinction between network science and network theory, emphasizing that network science is a broader field that includes both theoretical and applied aspects. The authors advocate for a data-oriented perspective, recognizing the unique structure of network data and its implications for analysis. They also emphasize the importance of interdisciplinary collaboration and the need for a unified approach to network science. The editorial concludes by outlining the journal's mission to promote the development of network science through the publication of high-quality research across various disciplines.
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