A structural approach in networks: showing patterns, possibilities and pitfalls
DOI:
https://doi.org/10.5007/2175-8077.2010v12n26p72Abstract
In recent years there has been a noticeable shift in evaluation paradigms away from positivist, individualist and atomistic explanations of phenomena to those seeking a more relational, contextual and systemic understanding. This growing shift in interest to the interrelationships or networks of connections between entities is apparent in fields as organizations in networks, knowledge transmission between social groups and so. A growing theoretical and methodological base is providing enhanced capacities to uncover the actual topologies or patterns of connections between entities, elements, people, organizations or communities and deliver a more fine grained analysis of their elements. In this way network analysis differs from conventional evaluation and research modes since its focus is on the interrelationships of entities not the characteristics of individuals. In this paper, we review and analyze the emerging capacity of the network paradigm as an evaluation method and show how this model can be applied t a range of evaluation arenas. In doing so, we outline a framework to guide network evaluation, establish some key network indicators and highlight key methodological aspects and pitfalls.Downloads
Published
How to Cite
Issue
Section
License
The author must ensure:
- that there is complete consensus among all co-authors to approve the final version of the paper and its submission for publication.
- that their work is original, and if the work and/or words of others have been used, these have been duly acknowledged.
Plagiarism in all its forms constitutes unethical publishing behavior and is unacceptable. RCA reserves the right to use software or any other methods of plagiarism detection.
All submissions received for evaluation in the RCA journal are screened for plagiarism and self-plagiarism. Plagiarism identified in manuscripts during the evaluation process will result in the submission being archived. In the event of plagiarism being identified in a manuscript published in the journal, the Editor-in-Chief will conduct a preliminary investigation and, if necessary, retract it.
Authors grant RCA exclusive rights of first publication, with the work simultaneously licensed under the Creative Commons (CC BY) 4.0 International License.
Authors are authorized to enter into separate, additional contractual arrangements for the non-exclusive distribution of the version of the work published in this journal (e.g., publishing in an institutional repository, on a personal website, publishing a translation, or as a chapter in a book), with an acknowledgement of its authorship and initial publication in this journal.
This license grants any user the right to:
Share – copy, download, print, or redistribute the material in any medium or format.
Adapt – remix, transform, and build upon the material for any purpose, even commercially.
According to the following terms:
Attribution – You must give appropriate credit (cite and reference), provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
No additional restrictions – You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.