Draft:UCINET
Submission declined on 18 December 2023 by Theroadislong (talk).
Where to get help
How to improve a draft
You can also browse Wikipedia:Featured articles and Wikipedia:Good articles to find examples of Wikipedia's best writing on topics similar to your proposed article. Improving your odds of a speedy review To improve your odds of a faster review, tag your draft with relevant WikiProject tags using the button below. This will let reviewers know a new draft has been submitted in their area of interest. For instance, if you wrote about a female astronomer, you would want to add the Biography, Astronomy, and Women scientists tags. Editor resources
|
Submission declined on 8 December 2023 by Crunchydillpickle (talk). This draft's references do not show that the subject qualifies for a Wikipedia article. In summary, the draft needs multiple published sources that are: Declined by Crunchydillpickle 5 months ago.
|
- Comment: This article lacks thorough sourcing and proper formatting. Crunchydillpickle🥒 (talk) 23:11, 8 December 2023 (UTC)
UCINET is a widely-used software package for social network analysis developed by Analytic Technologies.[1] It is designed to assist researchers, analysts, and social scientists in studying and visualizing the structure and dynamics of social networks. UCINET provides a comprehensive set of tools for data management, analysis, and visualization, making it an essential resource for social network researchers worldwide.[2]
History[edit]
UCINET was originally developed in the late 1970s by Lin Freeman, Douglas White, and A. Kimball Romney at the University of California, Irvine.[1] The software was initially designed to facilitate the analysis of anthropological and social data, focusing on the study of kinship and social relationships within various cultural contexts. Over the years, UCINET has evolved into a versatile and powerful tool for analyzing a wide range of social networks, including organizational networks, friendship networks, communication networks, and more.
Applications[edit]
UCINET has found applications in various fields, including sociology, anthropology, psychology, organizational studies, epidemiology, and business management.[1][2][3] Some common uses of UCINET include:
- Social Structure Analysis: Researchers can analyze social networks to understand the underlying social structures, hierarchies, and patterns of interaction within a community or organization.
- Organizational Network Analysis (ONA): UCINET is valuable for studying communication and collaboration patterns within organizations to improve decision-making and organizational effectiveness.
- Epidemiological Studies: UCINET can be used to model and analyze the spread of diseases through contact networks.
- Marketing and Consumer Behavior: In the business world, UCINET can help analyze consumer networks and their impact on marketing strategies.
Availability[edit]
UCINET is available for Windows software only.[1] Mac or Linux versions are not available. The only way to run UCINET on a Mac is to use a Windows emulator such as Parallels or Oracle VM VirtualBox.[1] Users can obtain the software from the official Analytic Technologies website, where they can also find documentation, tutorials, and support resources.
See Also[edit]
References[edit]
- ^ a b c d e J. David Johnson (1987): "UCINET: A software tool for network analysis," Communication Education, 36:1, 92-94, DOI: 10.1080/03634528709378647
- ^ a b Trujillo, H. M., Manas, F. M., & Gonzalez-Cabrera, J. (2010). "Assessment of the explanatory power of clandestine social networks graphs with UciNet and NetDraw." Universitas Psychologica, 9(1), 67-78.
- ^ Apostolato, I. A. (2013). "An overview of Software Applications for Social Network Analysis." International Review of Social Research, 3(3).
- in-depth (not just passing mentions about the subject)
- reliable
- secondary
- independent of the subject
Make sure you add references that meet these criteria before resubmitting. Learn about mistakes to avoid when addressing this issue. If no additional references exist, the subject is not suitable for Wikipedia.