Diffusion of Innovations: A Longitudinal Study of a Virtual Community
2000
- 187Usage
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Usage187
- Downloads119
- Abstract Views68
Article Description
The exponential growth and global access of the Internet may have signaled a basic change in human sociology. Increasingly, people are choosing to relate to each other through computer-mediated channels by forming virtual communities. As these virtual communities become more pervasive, it is important that we gain an understanding of the nature of these social systems. This study will analyze the content of warehoused electronic communications to study these communities. The preliminary analysis examines the viability of the community and the diffusion of innovations. The ongoing inquiry will use computerized content analysis to gain deeper insight into community dynamics, leadership and communication character.
Bibliographic Details
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know