github.io rank 438 |
Number of domains linking to github.io 2 | semantic flow 0.39 |
Number of links to github.io 7 | semantic flow 0.39 |
Number of domains linked from github.io 3 | semantic flow 0.35 |
Number of links from github.io 5 | semantic flow 0.35 |
Relevant domains with most links to selected domain.
domain | |
---|---|
http://stackoverflow.com/ | stackoverflow.com |
http://sicara.com/ | sicara.com |
Relevant domains with most links from selected domain.
domain | |||
---|---|---|---|
http://angularjs.org/ | 3 | 0.22 | angularjs.org |
http://chartjs.org/ | 1 | 0.07 | chartjs.org |
http://github.com/ | 1 | 0.05 | github.com |
Pages from domain with most relevant inbound links.
url | |||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
https://jtblin.github.io/angular-chart.js/ | 1 | 0.16 | 0.93 | 0.07 | -1 | - | -1 | -1 | -1 | -1 | 1 | 1 | |
http://jtblin.github.io/angular-chart.js/examples/dataset-override.js | 1 | 0.17 | 0.91 | 0.07 | -1 | - | -1 | -1 | -1 | -1 | 1 | 1 | |
http://jtblin.github.io/angular-chart.js/examples/stacked-bars.html | 1 | 0.16 | 0.9 | 0.07 | 1 | yes | 0 | 0 | -1 | -1 | 1 | 1 | |
http://jtblin.github.io/angular-chart.js/examples/dataset-override.html | 1 | 0.17 | 0.91 | 0.07 | 1 | yes | 0 | 0 | -1 | -1 | 1 | 1 | |
http://jtblin.github.io/angular-chart.js/examples/app.js | 1 | 0.16 | 0.89 | 0.07 | -1 | - | -1 | -1 | -1 | -1 | 1 | 1 | |
http://jtblin.github.io/angular-chart.js/ | 1 | 0.16 | 0.91 | 0.04 | 1 | yes | 10 | 6 | 6 | 3 | 1 | 1 | |
http://jtblin.github.io/angular-chart.js | 1 | 0.19 | 0.76 | 0.01 | -1 | - | -1 | -1 | -1 | -1 | 1 | 1 |
Pages from domain with most likely on-topic outgoing links.
url | |||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
http://jtblin.github.io/angular-chart.js/ | 5 | 0.16 | 0.91 | 0.35 | 1 | yes | 10 | 6 | 6 | 3 | 1 | 1 |
Similar domains to domain, based on inbound linking patterns from other relevant domains. This is also known in SEO as topical co-citation.
par(new=TRUE)
to add a new plot to the current plot.plot(0,0,xlim=c(0,5),ylim=c(0,5),type="n")
par(new=TRUE)
plot(0,0,xlim=c(0,5),ylim=c(0,5),type="n")
par(