Over the last 5 years there was a sharp increase in the number of education blogs in various areas such as art education, technology, creative writing, mathematics, or drama, from primary school level to lifelong learning approaches.
Despite this surge in education blogs, there haven't been many attempts at classifying the blogs according to their authority. We will present a ranking of education blogs ordered by their Onalytica Influence Index.
The Influence Index we compute at Onalytica shares the same idea with the impact factor that nowadays all academic journals publish on their cover. Essentially impact factors just represent what is common wisdom; that some publications matter more than others, and impact factors attempt to quantify this. Similarly, the Onalytica Influence Index measures the "punching weight" of education blogs compared to one another.
Our influence measuring methodology is based on the Input/Output model developed by the Nobel Prize winner Wassily Leontief.
The model takes into account all references and citations between the blogs. We developed three metrics for each blog: Influence Index, Popularity and Over-Influence.
The Onalytica Influence Index is the impact factor of a blog, or how much that blog matters.
Popularity represents how popular or well-known the blog is among other education blogs.
Over–Influence seeks to capture how influential a blog is compared to how popular it is. There is a strong correlation between how popular or well-known a blog is and its influence. However some blogs carry more influence than their popularity leads us to believe; this is what we call over-influence.
Below we present a list of 100 most influential education blogs ordered by their Onalytica Influence Index.
The most popular blog in our list is Larry Ferlazzo's blog, however it's not the most influential. Its over-influence is 0.8, meaning that the blog carries only 80% of the influence we would expect from how well-known it is.
The most influential is Dan Meyer's blog and its over-influence score of 1.6 means that the blog carries 60% more influence than we would expect from its popularity. Similarly, the Hack Education blog, the second most influential, is more than twice more influent than its popularity would lead us to believe.
The reason for a blog being over-influential, i.e. his over-influence is greater than 1, is that those who reference or cite the blog are themselves influential blogs.
Please contact us if we have missed any blogs or you would like more information on our influence measuring methodology.
In the last decade it has become increasingly popular for academic journals to publish their impact factors on the cover.
Essentially impact factors just represent what is common wisdom; that some publications matter more than others, and impact factors attempt to quantify this.
Today we are publishing the Onalytica Influence Index for economics blogs. The top 100 can be seen below. (Methodology after the list)
We use our standard methodology for measuring influence: All references and citations between the blogs are fed into an Input/Output model (How appropriate to use the work of the 1973 Economics Nobel Prize laureate to calculate the impact factors for economic blogs).
The table contains metrics for each blog: InfluenceIndex, Popularity and Over-Influence.
InfluenceIndex is the impact factor, normalised to the value of the most influential blog.
Popularity represents how popular or well-known the blog is among other economics blogs.
Over–Influence seeks to capture how influential a blog is compared to how popular it is. There is a fairly linear (r2=~0.93) relationship between how popular or well-known a blog is and its influence. However some blogs carry more influence than their popularity leads us to believe; this is what we call over-influence. The blog Fight Entropy for example has an over-influence value of 1.9, meaning it carries 90% more influence that we would expect from how well-known it is. Conversely, if a blog has an over-influence of 0.8 it only carries 80% of the influence we would expect from how well-known it is.
If a blog is over-influential there is only one possible explanation: Those who reference or cite the blog have themselves more than average influence.
The list shows, that the combination of a premier newspaper and Nobel Prize winner is hard to beat.
At Onalytica we have been in the business of measuring influence since 2004. Our clients use the influence we calculate in two ways. First, they use it to understand who are influential in the debate and who is gaining and loosing influence. However, the second usage is the most important: By applying the influence weights of each stakeholder when analysing their views and statements we can transform the online noise into excellent predictions about the present and the future.
To learn more about our work on Influence click on the influence tag on the blog.
Thanks to Oliver Brown for helping with data and suggestions.
The Conscience of a Liberal (Paul Krugman)
Tim Duy's Fed Watch
The Money Illusion
Library of Economics and Liberty
The Big Picture
Worthwhile Canadian Initiative
Next New Deal
Stumbling and Mumbling
The Baseline Scenario
Dani Rodrik's weblog
A Fistful Of Euros
Conf. of a Supply-Side Liberal
The Undercover Economist
Adam Smith Institute
Organizations and Markets
Liberty Street Economics
The Becker-Posner Blog
Division of Labour
Daniel W. Drezner
David Smith's EconomicsUK.com
Peter Gordon's Blog
Increasing Marginal Utility
The Capital Spectator
China Financial Markets
Club For Growth
EclectEcon Economics Studies
A Fine Theorem
Ludwig von Mises Institute
Aplia Econ Blog
Duncan’s Economic Blog
Forest Policy - Forest Practice
All Road Leads to China
Don't worry, I'm an Economist!
Truth on the Market
Federal Reserve Bank of Chicago
The RePEc Blog