Top Tags

Feeds Score = Number of Unique Feeds * Affinity

Items Score = Total of ( Affinity / Days Since Publication ) For Each Item

Flow Rate Score = Total Flow Rate / ( Number of Items / Number of Feeds )

Score = Flow Rate Score + Feed Score + Items Score

*We actually have 124276 unique tags, but only those that exist in 5 or more unique feeds are used.

**Tags are generated by the Yahoo Content Analysis Service API that extract key concepts from a body of text or URI and has no human input from our staff.

Rank Tag Affinity TTL Flow Rate Items Feeds Score
1 digital media 7,000 90 1,411,052 53 11 384,405
2 Twitter 1,000 90 828,989 131 26 213,619
3 Social Media 2,000 90 475,950 85 25 207,037
4 immigration 1,000 90 234,789 8 5 155,054
5 professional development 5,000 90 78,432 14 8 127,369
6 community 1,000 90 161,976 32 16 102,298
7 educators 7,000 90 66,778 10 5 75,016
8 social networks 2,500 90 33,346 12 9 63,664
9 education reform 6,000 90 24,922 7 5 56,852
10 video games 5,000 90 39,802 7 5 55,949
11 Internet access 2,000 90 56,813 10 6 50,870
12 Net Neutrality 1,000 90 97,779 11 5 50,410
13 Online Learning 3,000 90 31,073 5 5 48,747
14 MOOC 4,000 90 31,207 10 6 47,995
15 FCC 1,000 90 82,014 10 5 47,313
16 Howard Rheingold 3,000 90 49,636 11 5 43,351
17 technologies 2,000 90 19,158 7 7 33,818
18 Michael Brown 1,000 90 184,534 61 7 33,605
19 blended learning 3,000 90 24,834 13 6 32,453
20 education system 4,000 90 13,421 6 5 32,002
21 Ferguson 1,000 90 168,787 50 6 30,419
22 Ebola 1,000 90 54,025 14 6 30,325
23 Computer Science 2,000 90 19,045 5 5 29,923
24 high school students 1,000 90 25,573 7 5 27,513
25 communities 2,000 90 19,794 7 5 24,942
26 Ohio University 1,000 90 17,589 5 5 23,727
27 North Carolina 1,000 90 31,449 10 5 21,368