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 124772 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 1,394,757 51 11 396,475
2 Twitter 1,000 90 790,465 138 27 236,749
3 Social Media 2,000 90 493,788 99 27 221,793
4 Michael Brown 1,000 90 1,116,789 89 6 163,747
5 Ferguson 1,000 90 749,219 64 5 129,831
6 professional development 5,000 90 51,849 14 8 99,173
7 community 1,000 90 119,955 30 15 79,646
8 education reform 6,000 90 32,443 8 5 67,440
9 blended learning 3,000 90 37,428 8 6 55,427
10 Google Drive 1,000 90 58,453 6 5 55,137
11 Creativity 4,000 90 32,267 7 5 52,014
12 Internet service providers 1,000 90 104,560 13 5 49,919
13 video games 5,000 90 31,759 7 5 49,313
14 education system 4,000 90 16,451 7 6 42,928
15 University of Southern California 2,001 90 32,243 8 6 42,860
16 social networks 2,500 90 33,148 11 7 41,205
17 Computer Science 2,000 90 22,705 6 6 40,808
18 Net Neutrality 1,000 90 81,504 13 5 38,685
19 MOOC 4,000 90 12,226 7 6 35,631
20 immigration 1,000 90 52,083 9 5 35,161
21 Internet access 2,000 90 24,943 7 6 34,502
22 characters 1,000 90 20,298 5 5 32,060
23 technologies 2,000 90 16,758 6 6 29,226
24 Microsoft Research 2,000 90 22,857 7 5 28,029
25 communities 2,000 90 23,608 8 5 26,915
26 Ebola 1,000 90 45,735 13 5 23,182
27 Oregon State University 1,000 90 19,530 9 5 19,947
28 high school students 1,000 90 11,307 7 5 13,672