==============================================================================
1. Input Degree of N1 (1336999)
==============================================================================
Dimension: 1336999
The lowest value: 0.0000
The highest value: 151362.0000
Highest values:
Rank Vertex Value Id
--------------------------------------------------------
1 408800 151362.0000 covid_19
2 376790 28872.0000 sars_cov
3 409978 28461.0000 19_pandemic
4 410234 27574.0000 cov_2
5 409975 11934.0000 coronavirus_disease
6 409976 9679.0000 disease_2019
7 436602 7247.0000 19_patient
8 433894 6460.0000 patient_covid
9 375549 5975.0000 systematic_review
10 375691 5835.0000 acute_respiratory
11 379621 5449.0000 respiratory_syndrome
12 389796 4730.0000 2_infection
13 408859 4399.0000 novel_coronavirus
14 439844 4365.0000 impact_covid
15 428903 4282.0000 19_outbreak
16 377163 4133.0000 severe_acute
17 455886 3994.0000 19_infection
18 376564 3644.0000 case_report
19 409977 3601.0000 2019_covid
20 376049 3564.0000 meta_analysis
21 399267 3470.0000 mental_health
22 375165 3259.0000 public_health
23 392359 3131.0000 syndrome_coronavirus
24 381677 2794.0000 health_care
25 418172 2748.0000 de_la
26 375249 2608.0000 infectious_disease
27 376048 2559.0000 review_meta
28 434385 2352.0000 time_covid
29 376706 2281.0000 united_state
30 449792 2129.0000 severe_covid
31 448870 2119.0000 19_pneumonia
32 377289 2110.0000 cohort_study
33 377486 2092.0000 cross_sectional
34 375437 2090.0000 risk_factor
35 440533 2024.0000 disease_covid
36 439419 1983.0000 response_covid
37 375145 1867.0000 intensive_care
38 429369 1858.0000 19_epidemic
39 428842 1821.0000 coronavirus_2
40 439332 1752.0000 19_case
41 375220 1742.0000 critically_ill
42 376924 1685.0000 long_term
43 500330 1684.0000 19_era
44 377190 1684.0000 healthcare_worker
45 376148 1627.0000 clinical_characteristic
46 375189 1618.0000 virus_infection
47 386648 1602.0000 clinical_trial
48 448150 1581.0000 treatment_covid
49 375806 1536.0000 influenza_virus
50 378558 1523.0000 control_trial
51 410314 1487.0000 coronavirus_infection
52 486744 1436.0000 coronavirus_covid
53 386481 1433.0000 middle_east
54 376127 1403.0000 emergency_department
55 375163 1374.0000 real_time
56 378323 1348.0000 viral_infection
57 380483 1336.0000 social_distance
58 378938 1315.0000 care_unit
59 428109 1312.0000 2019_novel
60 498150 1311.0000 19_lockdown
61 441530 1308.0000 19_crisis
62 391821 1271.0000 east_respiratory
63 440557 1251.0000 patient_coronavirus
64 497027 1250.0000 covid_19.
65 380323 1240.0000 case_series
66 376598 1234.0000 immune_response
67 411896 1228.0000 spike_protein
68 378648 1210.0000 cancer_patient
69 378373 1205.0000 respiratory_tract
70 375692 1175.0000 respiratory_distress
71 379217 1173.0000 randomize_control
72 500195 1169.0000 effect_covid
73 378932 1164.0000 respiratory_virus
74 377487 1163.0000 sectional_study
75 446908 1161.0000 coronavirus_pandemic
76 403678 1153.0000 letter_editor
77 378526 1151.0000 observational_study
78 381352 1150.0000 new_york
79 375221 1116.0000 ill_patient
80 377354 1103.0000 stem_cell
81 375693 1101.0000 distress_syndrome
82 501143 1089.0000 la_pandemia
83 497022 1081.0000 de_covid
84 501420 1077.0000 covid‐19_pandemic
85 382410 1071.0000 lesson_learn
86 428338 1069.0000 2019_ncov
87 380457 1051.0000 case_study
88 408862 1044.0000 wuhan_china
89 376933 1032.0000 patient_severe
90 490593 1028.0000 2_covid
91 446924 1027.0000 era_covid
92 376366 1006.0000 respiratory_infection
93 499898 1002.0000 19_related
94 377367 996.0000 infectious_bronchitis
95 428374 987.0000 management_covid
96 381678 984.0000 care_worker
97 393698 982.0000 protective_equipment
98 387307 981.0000 2_pandemic
99 400424 966.0000 old_adult
100 426407 950.0000 corona_virus
101 433982 945.0000 care_covid
102 393697 941.0000 personal_protective
103 399072 935.0000 mers_cov
104 380361 931.0000 hospitalize_patient
105 381328 918.0000 pregnant_woman
106 498187 916.0000 surgery_covid
107 375420 914.0000 rt_pcr
108 382743 910.0000 single_center
109 434185 903.0000 19_associate
110 447337 902.0000 2019_pandemic
111 458660 900.0000 post_covid
112 426428 900.0000 sars_coronavirus
113 388801 885.0000 et_al
114 391872 867.0000 clinical_outcome
115 434765 856.0000 due_covid
116 463576 855.0000 sars_cov2
117 377368 851.0000 bronchitis_virus
118 375095 832.0000 clinical_feature
119 440018 817.0000 case_covid
120 429049 813.0000 coronavirus_2019
121 385092 813.0000 machine_learn
122 384945 813.0000 social_medium
123 377208 811.0000 convert_enzyme
124 377207 803.0000 angiotensin_convert
125 378311 796.0000 transplant_recipient
126 381356 786.0000 retrospective_study
127 507596 784.0000 19_disease
128 508097 783.0000 spread_covid
129 379717 768.0000 prevention_control
130 387304 766.0000 scoping_review
131 377274 764.0000 porcine_epidemic
132 458255 763.0000 associate_covid
133 376445 761.0000 hong_kong
134 471944 759.0000 detection_sars
135 378374 758.0000 tract_infection
136 384195 755.0000 literature_review
137 400198 754.0000 compute_tomography
138 523729 752.0000 2_spike
139 381038 744.0000 health_system
140 428052 742.0000 convalescent_plasma
141 391823 739.0000 medical_student
142 415930 734.0000 chest_ct
143 376061 728.0000 critical_care
144 506207 726.0000 outcome_covid
145 383664 726.0000 breast_cancer
146 439630 724.0000 2_sars
147 471397 723.0000 coronavirus_sars
148 501185 720.0000 risk_covid
149 498555 719.0000 model_covid
150 376377 716.0000 lung_cancer
151 383836 712.0000 ischemic_stroke
152 377276 711.0000 diarrhea_virus
153 383609 710.0000 high_risk
154 381353 708.0000 york_city
155 531169 704.0000 19_systematic
156 382092 701.0000 outcome_patient
157 392888 697.0000 primary_care
158 379012 694.0000 type_2
159 377275 694.0000 epidemic_diarrhea
160 375981 687.0000 global_health
161 434401 686.0000 por_covid
162 378762 682.0000 virus_disease
163 379214 673.0000 study_protocol
164 377795 671.0000 review_literature
165 377912 670.0000 retrospective_cohort
166 464220 666.0000 main_protease
167 386505 662.0000 south_korea
168 429725 661.0000 en_la
169 375570 660.0000 infection_control
170 375229 660.0000 contact_trace
171 479289 656.0000 cytokine_storm
172 376045 655.0000 respiratory_failure
173 375388 651.0000 nucleic_acid
174 446095 648.0000 19_en
175 427646 648.0000 coronavirus_pneumonia
176 511853 635.0000 fight_covid
177 447400 632.0000 19_vaccine
178 387002 629.0000 short_term
179 376362 623.0000 face_mask
180 446094 621.0000 la_covid
181 377064 621.0000 multiple_sclerosis
182 420492 620.0000 physical_activity
183 427546 619.0000 human_coronavirus
184 375107 616.0000 saudi_arabia
185 427807 615.0000 en_el
186 381081 613.0000 point_care
187 377840 612.0000 community_acquire
188 447227 610.0000 deep_learn
189 397066 610.0000 cardiovascular_disease
190 378706 602.0000 factor_associate
191 378318 601.0000 renin_angiotensin
192 375685 600.0000 decision_make
193 378244 598.0000 pilot_study
194 377282 593.0000 quality_life
195 377603 592.0000 's_disease
196 379272 587.0000 x_ray
197 464157 585.0000 19_among
198 381559 581.0000 heart_failure
199 498530 580.0000 19_response
200 377096 580.0000 respiratory_syncytial
--------------------------------------------------------
