The graph was imported from the open workbook "Posts from 2019-05-13 to 2019-08-13 (2)_NodeXL.xlsx".
The graph is directed.
The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
The edge colors are based on edge weight values. The edge widths are based on edge weight values. The edge opacities are based on edge weight values. The vertex sizes are based on betweenness centrality values.
Overall Graph Metrics:
Vertices: 9844
Unique Edges: 22966
Edges With Duplicates: 10332
Total Edges: 33298
Self-Loops: 544
Reciprocated Vertex Pair Ratio: 0.0199054000788333
Reciprocated Edge Ratio: 0.0390338164251208
Connected Components: 1
Single-Vertex Connected Components: 0
Maximum Vertices in a Connected Component: 9844
Maximum Edges in a Connected Component: 33298
Maximum Geodesic Distance (Diameter): 9
Average Geodesic Distance: 3.994931
Graph Density: 0.000267043043065854
Modularity: 0.58143
NodeXL Version: 1.0.1.421
Top 10 Vertices, Ranked by Betweenness Centrality:
hannahyeoh
dghisham
gaviseth
drdzul
who
azraaieffendi
theunion_tblh
edselsalvana
asia_foundation
drtonyleachon
Top URLs in Tweet in Entire Graph:
[615]
https://t.co/C2b4VUrPO8[589]
https://t.co/BujlkYENVc[435]
https://t.co/qx8SuI6cjX[420]
https://t.co/6igReiGLDT[323]
https://t.co/tC0uvGEI19[302]
https://t.co/qfRC1dvEWF[289]
https://t.co/vjO7fQzKN6[190]
https://t.co/l6WygVoDFy[168]
https://t.co/hF6Vq1IN5p[168]
https://t.co/6toGQrHLleTop URLs in Tweet in G1:
[603]
https://t.co/C2b4VUrPO8[410]
https://t.co/qx8SuI6cjX[399]
https://t.co/6igReiGLDT[320]
https://t.co/tC0uvGEI19[280]
https://t.co/vjO7fQzKN6[168]
https://t.co/l6WygVoDFy[124]
https://t.co/Le6b2edm0z[122]
https://t.co/lzF1mxCQSS[99]
https://t.co/MTrchM3Jlg[80]
https://t.co/rZPPBQ9tpHTop URLs in Tweet in G2:
[125]
https://t.co/sBlAFbvQRl[84]
https://t.co/wkx4q9Zz4S[60]
https://t.co/ngSDCrW9qz[60]
https://t.co/QbrPc5HhZ5[60]
https://t.co/Ld2M2IoFEe[56]
https://t.co/Svuj94SxdT[56]
https://t.co/aFkgwDpCl4[54]
https://t.co/yPmlCW6Gsv[52]
https://t.co/N9UtID5M3o[51]
https://t.co/hIzZbCCq5MTop URLs in Tweet in G3:
[168]
https://t.co/hF6Vq1IN5p[168]
https://t.co/6toGQrHLle[126]
https://t.co/id7bjXQGQM[104]
https://t.co/a7VafCEPL9[80]
https://t.co/R5HRMAvX17[63]
https://t.co/AXb4gzNkvJ[52]
https://t.co/qWp1PhSx02[52]
https://t.co/p8pliylFPc[49]
https://t.co/nCSR08ltet[48]
https://t.co/yC2OAdwIXATop URLs in Tweet in G4:
[559]
https://t.co/BujlkYENVc[85]
https://t.co/z6MQJ8s6bc[32]
https://t.co/LbqItUbTDo[26]
https://t.co/tNgsYj2PGj[22]
https://t.co/WgfMJ15j1R[18]
https://t.co/OINBac8Lwh[14]
https://t.co/bpRY6JMX3H[13]
https://t.co/e3GbFhOscX[12]
https://t.co/JZqgyLWTJi[12]
https://t.co/6igReiGLDTTop URLs in Tweet in G5:
[302]
https://t.co/qfRC1dvEWF[149]
https://t.co/3nMponHuAS[102]
https://t.co/zyA0ZficE3[101]
https://t.co/7E9ofvBi0E[101]
https://t.co/tJpr3Flw6W[98]
https://t.co/XsOiAhEJ8f[92]
https://t.co/te9Djks066[57]
https://t.co/BHPtK6I2A8[57]
https://t.co/2ZnhNkzwzm[56]
https://t.co/Wh7XCpvEXSTop URLs in Tweet in G6:
[32]
https://t.co/e61n8Iwylu[30]
https://t.co/4x9KI18LUN[30]
https://t.co/EPnW0DJqoZ[26]
https://t.co/mf5k2b5gfQ[26]
https://t.co/6z7rLV8Sbm[23]
https://t.co/v1bGQsi9S4[20]
https://t.co/bywnP2urJk[18]
https://t.co/f3gftSGTeg[15]
https://t.co/Uqa6LaYELT[15]
https://t.co/1lv4sR91HNTop URLs in Tweet in G7:
[80]
https://t.co/remg4jqh0R[13]
https://t.co/nn1TipVP81[13]
https://t.co/94S7Cbcb1I[12]
https://t.co/xlUDX0vRL0[12]
https://t.co/jmm21kT8jN[12]
https://t.co/TJTfZ5aHuP[12]
https://t.co/qbAsqP9TNH[12]
https://t.co/4kXqJaCL0O[11]
https://t.co/eflgsbG8r6[10]
https://t.co/sONHRyRvDoTop URLs in Tweet in G8:
[102]
https://t.co/IAZr3o2nHL[102]
https://t.co/oqyCNnANJE[51]
https://t.co/kFqoFw4r03[51]
https://t.co/IrB8MZKTQp[51]
https://t.co/I3HfZUpimf[51]
https://t.co/MF8W2WwPMA[50]
https://t.co/lV2XAAeksX[30]
https://t.co/ad8j1keEoW[26]
https://t.co/p1UDqGmoFh[25]
https://t.co/jml9PrW0hiTop URLs in Tweet in G9:
[20]
https://t.co/1kQbNndhUx[16]
https://t.co/nyTx938Rsd[16]
https://t.co/ySjC3nyH9F[14]
https://t.co/ci2iYkZa8f[12]
https://t.co/BrVcVKqE6M[10]
https://t.co/dSPNxAl6Jp[10]
https://t.co/nQVxw2e8yt[9]
https://t.co/ykrMDbK1Xc[7]
https://t.co/ij542TgKg4[6]
https://t.co/5qhkuv5sNrTop URLs in Tweet in G10:
[16]
https://t.co/wvuNkynryu[12]
https://t.co/WOWdQxudqk[9]
https://t.co/BcUHintnE0[2]
https://t.co/5SspsmyyF0[1]
https://t.co/g4eKyFFK4k[1]
https://t.co/nvc1ns7GWL[1]
https://t.co/oijAVZMiZATop Domains in Tweet in Entire Graph:
[23000] t.co
[3]
www.nejm.orgTop Domains in Tweet in G1:
[3644] t.co
Top Domains in Tweet in G2:
[7227] t.co
Top Domains in Tweet in G3:
[5617] t.co
Top Domains in Tweet in G4:
[1063] t.co
Top Domains in Tweet in G5:
[2366] t.co
Top Domains in Tweet in G6:
[1189] t.co
Top Domains in Tweet in G7:
[291] t.co
[3]
www.nejm.orgTop Domains in Tweet in G8:
[614] t.co
Top Domains in Tweet in G9:
[186] t.co
Top Domains in Tweet in G10:
[42] t.co
Top Hashtags in Tweet in Entire Graph:
[828] VaccinesWork
[646] WHA72
[511] TB
[511] EndTB
[458] NationalTBConferenceAbuja2019
[318] HealthForAll
[303] Ebola
[287] MYmissingmillions
[263] Dengvaxia
[250] KISLHC
Top Hashtags in Tweet in G1:
[39] belia
[17] LetsBuildTogether
[10] SaveALife
[9] WomenDeliver
[9] WomensRights
[9] GenderEqualityMatters
[7] KPWKM
[5] Wayfarers7
[5] Repost
[5] throwback
Top Hashtags in Tweet in G2:
[759] VaccinesWork
[447] WHA72
[441] EndTB
[410] TB
[296] Ebola
[288] HealthForAll
[250] KISLHC
[218] vaccines
[185] IndiaVsTB
[183] India
Top Hashtags in Tweet in G3:
[262] MYmissingmillions
[143] Malaysia
[105] hepatitisC
[104] KualaLumpur
[104] 19thICID
[104] WorldHepatitisDay
[99] WHA72
[93] PIDSASP19
[71] Malaysians
[67] dontignorewhatucantc
Top Hashtags in Tweet in G4:
[41] WHA72
[28] TransparencyResolution
[25] MYmissingmillions
[24] diabetes
[23] endTB
[20] WCS2019Krakow
[18] IAS2019
[18] beatNCDs
[15] GlobalSurgery
[15] Malaysia
Top Hashtags in Tweet in G5:
[261] Dengvaxia
[130] LabanLizQuen
[106] DengvaxiaScandal
[75] mosquitocontrol
[67] BigPharma
[53] science
[53] dengue
[38] vectorcontrol
[30] DengvaxiaYTheRush
[24] Duterte
Top Hashtags in Tweet in G6:
[241] SafetyForShe
[124] WGEO
[116] SafetyforShe
[96] GreenEconomy
[83] D4DNepal
[71] Bhopal
[68] safetyforshe
[61] AsiaPacific
[60] RMCGE
[57] Jodhpur
Top Hashtags in Tweet in G7:
[32] ACTHIV
[32] TBM
[25] corticosteroids
[18] clinicaltrials
[14] pedsID
[12] jobs
[12] TB
[11] TBmeningitis
[8] MayoPedsID
[8] histoplasmosis
Top Hashtags in Tweet in G8:
[458] NationalTBConferenceAbuja2019
[32] VaccinesWork
[30] varicella
[30] chickenpox
[30] shingles
[6] Towards
[3] Ebola
[3] PrimaryHealthCare
[3] UHC
[2] PHMM2019
Top Hashtags in Tweet in G9:
[53] WHA72
[20] DeacdeofHealthyAgeing
[15] WHA72WHO
[14] lifecourse
[14] SDGs
[12] artofageing
[12] aging
[12] longevity
[12] society
[12] valuediversity
Top Hashtags in Tweet in G10:
[18] VaccinesWork
[12] AinulMardhiah
[12] HealthcareIsGREAT
[9] Women
[9] Political
[9] Leadership
[9] regional
[9] CP4D
[9] WomenWhoLead
[2] rotavirus
Top Words in Tweet in Entire Graph:
[31435] Words in Sentiment List#1: Positive
[25180] Words in Sentiment List#2: Negative
[0] Words in Sentiment List#3: (Add your own word list)
[1089008] Non-categorized Words
[1145619] Total Words
[9109] hannahyeoh
[6058] drtonyleachon
[4564] gaviseth
[4193] yesyesyo13
[4146] doc_anton
Top Words in Tweet in G1:
[4732] hannahyeoh
[1521] help
[1409] working
[1100] women
[879] needs
[879] using
[820] remaining
[692] know
[667] drwanazizah
[637] public
Top Words in Tweet in G2:
[4202] gaviseth
[2440] theunion_tblh
[1932] gavi
[1564] health
[1090] tb
[1009] drtedros
[856] stoptb
[826] vaccines
[805] #vaccineswork
[800] more
Top Words in Tweet in G3:
[4224] hannahyeoh
[3537] drdzul
[1840] drwanazizah
[1442] chedetofficial
[1370] kkmputrajaya
[1308] health
[1186] syedsaddiq
[1181] dghisham
[970] malaysia
[761] help
Top Words in Tweet in G4:
[1313] dghisham
[685] health
[659] malaysia
[586] first
[573] world
[566] pacific
[565] country
[565] region
[560] today
[560] organization
Top Words in Tweet in G5:
[6020] drtonyleachon
[4193] yesyesyo13
[4146] doc_anton
[4119] choy_kapitan
[4109] noel_dolor
[4105] raincyrainy
[3896] hrhorribles
[3892] miguelldlegazpi
[3277] pinoytapsilog
[2993] teddybird
Top Words in Tweet in G6:
[1265] asia_foundation
[496] safetipindotcom
[474] csr_india
[417] #safetyforshe
[299] safetipinapp
[295] officialkoica
[278] women
[220] saysdiyanag
[183] ranjanakumari
[156] unossc
Top Words in Tweet in G7:
[294] thwaitesguy
[194] research
[185] oucru_vietnam
[99] infectious
[99] diseases
[96] wellcometrust
[92] exciting
[92] opportunity
[92] laboratory
[88] fellow
Top Words in Tweet in G8:
[458] qiagen
[458] lucicaditiu
[458] ntblcp1
[458] faithadaochelle
[458] tbcommunityngr
[458] nigeriatbcaucus
[458] kncvtbc
[458] drayodeleawe2
[458] ukamakagladys
[458] palladiumimpact
Top Words in Tweet in G9:
[206] janebarrattifa
[122] intfedageing
[112] older
[56] ageing
[53] #wha72
[48] people
[45] decade
[40] health
[40] need
[39] alanaofficer
Top Words in Tweet in G10:
[42] cambridge_uni
[39] please
[39] follow
[35] kenya
[28] ngbenglean
[24] jimnduruchi
[24] jigger
[24] victims
[22] care
[21] vaccine
Top Word Pairs in Tweet in Entire Graph:
[2280] fdrlsmph,drhenry4
[2280] drhenry4,jcmanila
[2196] doc_anton,hrhorribles
[2182] jcmanila,raincyrainy
[2138] centurion7575,choy_kapitan
[1990] yesyesyo13,frenchraldi
[1940] choy_kapitan,yesyesyo13
[1886] musikerong,fdrlsmph
[1839] raincyrainy,d35369170
[1839] choy_kapitan,josephinejeron
Top Word Pairs in Tweet in G1:
[621] hannahyeoh,drwanazizah
[603] anyone,help
[603] help,convey
[603] convey,msg
[603] msg,image
[603] image,anthonyloke
[603] anthonyloke,ktm
[603] ktm,taman
[603] taman,wahyu
[603] wahyu,night
Top Word Pairs in Tweet in G2:
[334] gaviseth,gavi
[279] gavi,gaviseth
[269] theunion_tblh,tballiance
[253] tballiance,patscommunity
[240] whowpro,takeshi_kasai
[227] ntldkenya,chskenya
[208] patscommunity,kenyapaeds
[204] drtedros,jeremyfarrar
[190] kenyapaeds,thenairobihosp
[188] health,care
Top Word Pairs in Tweet in G3:
[426] drwanazizah,hannahyeoh
[372] hannahyeoh,drwanazizah
[372] hannahyeoh,kasthuripatto
[321] kkmputrajaya,drdzul
[320] mental,health
[296] sitikasim,ambiga_s
[284] chedetofficial,drwanazizah
[247] billtay25,arifsetia20132d
[247] kuabt,ahkmlog
[247] ahkmlog,geanalyst
Top Word Pairs in Tweet in G4:
[570] world,health
[564] pacific,region
[560] health,organization
[560] western,pacific
[559] dghisham,malaysia
[559] malaysia,today
[559] today,became
[559] became,first
[559] first,country
[559] country,world
Top Word Pairs in Tweet in G5:
[2280] fdrlsmph,drhenry4
[2280] drhenry4,jcmanila
[2196] doc_anton,hrhorribles
[2182] jcmanila,raincyrainy
[2138] centurion7575,choy_kapitan
[1990] yesyesyo13,frenchraldi
[1940] choy_kapitan,yesyesyo13
[1886] musikerong,fdrlsmph
[1839] raincyrainy,d35369170
[1839] choy_kapitan,josephinejeron
Top Word Pairs in Tweet in G6:
[140] asia_foundation,officialkoica
[118] asia_foundation,csr_india
[117] asia_foundation,isolaralliance
[108] asia_foundation,devinitorg
[103] unfccc,asia_foundation
[100] unossc,unescap
[99] safetipindotcom,asia_foundation
[86] csr_india,asia_foundation
[86] asia_foundation,safetipindotcom
[86] devinitorg,dfidnepal
Top Word Pairs in Tweet in G7:
[99] infectious,diseases
[92] exciting,opportunity
[80] thwaitesguy,exciting
[80] opportunity,senior
[80] senior,research
[80] research,fellow
[80] fellow,lead
[80] lead,laboratory
[80] laboratory,focused
[80] focused,infectious
Top Word Pairs in Tweet in G8:
[458] qiagen,lucicaditiu
[458] lucicaditiu,ntblcp1
[458] ntblcp1,faithadaochelle
[458] faithadaochelle,tbcommunityngr
[458] tbcommunityngr,nigeriatbcaucus
[458] nigeriatbcaucus,kncvtbc
[458] kncvtbc,drayodeleawe2
[458] drayodeleawe2,ukamakagladys
[458] ukamakagladys,palladiumimpact
[458] palladiumimpact,stoptb
Top Word Pairs in Tweet in G9:
[48] older,people
[37] janebarrattifa,intfedageing
[36] decade,healthy
[36] healthy,ageing
[28] member,states
[27] intfedageing,janebarrattifa
[23] side,event
[20] alanaofficer,#wha72
[20] #wha72,please
[20] please,joint
Top Word Pairs in Tweet in G10:
[39] please,follow
[24] jigger,victims
[24] victims,kenya
[16] gaviseth,vaccinate
[16] vaccinate,against
[16] against,vaccine
[16] vaccine,misinformation
[16] misinformation,researchers
[16] researchers,cambridge_uni
[16] cambridge_uni,developed