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 124435 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 1,396,472 51 11 389,764
2 Social Media 2,000 90 481,486 90 27 230,390
3 Twitter 1,000 90 795,254 135 28 218,078
4 professional development 5,000 90 72,069 15 9 100,240
5 community 1,000 90 149,685 34 17 96,089
6 immigration 1,000 90 127,231 8 5 86,093
7 educators 7,000 90 48,193 9 5 65,827
8 social networks 2,500 90 37,088 12 9 57,688
9 Internet service providers 1,000 90 102,789 12 5 57,209
10 video games 5,000 90 37,144 7 5 53,496
11 education reform 6,000 90 20,718 7 5 49,241
12 Net Neutrality 1,000 90 91,387 12 5 45,955
13 Ferguson 1,000 90 151,082 50 6 45,618
14 Online Learning 3,000 90 27,141 5 5 43,761
15 FCC 1,000 90 75,360 11 5 42,220
16 Internet access 2,000 90 40,837 9 6 41,222
17 Michael Brown 1,000 90 208,595 58 7 40,025
18 MOOC 4,000 90 21,369 10 6 39,876
19 Howard Rheingold 3,000 90 44,363 11 5 38,230
20 blended learning 3,000 90 22,681 9 6 35,206
21 University of Southern California 2,001 90 25,278 6 5 33,389
22 education system 4,000 90 12,218 6 5 30,911
23 technologies 2,000 90 17,889 6 6 30,411
24 Computer Science 2,000 90 17,754 5 5 28,348
25 Ebola 1,000 90 50,322 13 5 25,074
26 communities 2,000 90 18,836 7 5 24,141
27 high school students 1,000 90 18,859 7 5 19,398