High Level Abstraction (HLA) | Report |
---|
(1) (linkedin,jobs,market,labor) | 100.00 |
(2) (linkedin,company,microsoft,gen) | 57.19 |
(3) (linkedin,microsoft,gen) | 56.39 |
(4) (linkedin,company,internet) | 55.59 |
(5) (linkedin,consumer,internet) | 55.43 |
(6) (linkedin,company,consumer) | 55.27 |
(7) (linkedin,company,workforce) | 53.83 |
(8) (linkedin,company,start) | 53.04 |
(9) (linkedin,company,recognizing) | 52.40 |
(10) (linkedin,consumer,recognizing) | 51.44 |
(11) (linkedin,company,questions) | 51.12 |
(12) (jobs,labor,talent) | 48.56 |
(13) (jobs,market,labor,talent) | 48.08 |
(14) (jobs,market,talent) | 47.76 |
(15) (jobs,talent) | 47.60 |
(16) (linkedin,jobs,labor,talent) | 47.28 |
(17) (linkedin,jobs,market,talent) | 46.81 |
(18) (linkedin,jobs,talent) | 45.21 |
(19) (jobs,labor,global) | 44.89 |
(20) (jobs,market,global) | 42.81 |
(21) (jobs,market,labor,global) | 42.17 |
(22) (linkedin,jobs,labor,global) | 40.89 |
(23) (linkedin,jobs,market,global) | 39.14 |
(24) (jobs,labor,equitable) | 37.86 |
(25) (jobs,market,equitable) | 35.78 |
(26) (jobs,market,labor,equitable) | 35.14 |
(27) (linkedin,jobs,labor,equitable) | 33.87 |
(28) (linkedin,jobs,market,equitable) | 32.11 |
(29) (jobs,labor,advice) | 30.83 |
(30) (jobs,market,advice) | 28.75 |
(31) (jobs,market,labor,advice) | 28.12 |
(32) (linkedin,jobs,labor,advice) | 26.84 |
(33) (linkedin,jobs,market,advice) | 25.08 |
(34) (linkedin,jobs,wow) | 23.00 |
(35) (company,jobs,recruiters) | 22.20 |
(36) (linkedin,jobs,recruiters) | 21.25 |
(37) (linkedin,jobs,professionals) | 20.45 |
(38) (company,jobs,momentum) | 19.49 |
(39) (company,recruiters,momentum) | 18.69 |
(40) (linkedin,jobs,momentum) | 18.37 |
(41) (linkedin,microsoft,technology) | 17.25 |
(42) (linkedin,microsoft,revenues) | 16.93 |
(43) (linkedin,microsoft,paradigm) | 16.61 |
(44) (linkedin,consumer,overtly) | 15.97 |
(45) (linkedin,consumer,microsoft) | 15.65 |
(46) (linkedin,consumer,hey) | 14.70 |
(47) (linkedin,consumer,gen) | 14.54 |
(48) (linkedin,answer,questions) | 13.74 |
(49) (linkedin,answer,question) | 13.26 |
(50) (linkedin,answer,qualifying) | 12.78 |
(51) (linkedin,answer,product) | 12.30 |
(52) (linkedin,questions,product) | 11.50 |
(53) (linkedin,answer,augment) | 11.34 |
(54) (linkedin,product,company) | 11.18 |
(55) (jobs,thinking,start) | 10.06 |
(56) (jobs,wow) | 9.90 |
(57) (company,jobs,technology-driven) | 8.79 |
(58) (jobs,technology-driven) | 8.47 |
(59) (company,jobs,technology) | 7.51 |
(60) (company,questions,technology) | 7.03 |
(61) (jobs,technology) | 6.87 |
(62) (company,jobs,questions) | 6.23 |
(63) (company,jobs,misfits) | 5.43 |
(64) (company,jobs,linkedin) | 4.47 |
(65) (company,recruiters,linkedin) | 1.92 |
(66) (company,hiring,entry-level) | 1.44 |
(67) (company,recruiters,candidates) | 1.28 |
(68) (company,questions,chros) | 1.12 |
(69) (company,microsoft) | 0.80 |
(70) (company,internet) | 0.64 |
(71) (company,gen) | 0.32 |