The graph was imported from the open workbook "Q2_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: 5623
Unique Edges: 20250
Edges With Duplicates: 8823
Total Edges: 29073
Self-Loops: 201
Reciprocated Vertex Pair Ratio: 0.00586458925992385
Reciprocated Edge Ratio: 0.011660792759866
Connected Components: 1
Single-Vertex Connected Components: 0
Maximum Vertices in a Connected Component: 5623
Maximum Edges in a Connected Component: 29073
Maximum Geodesic Distance (Diameter): 7
Average Geodesic Distance: 3.886159
Graph Density: 0.000727022400565143
Modularity: 0.510018
NodeXL Version: 1.0.1.409
Top 10 Vertices, Ranked by Betweenness Centrality:
pfizer
phrma
merck
jnjcares
rxpricing
abbvie
astrazeneca
senatefinance
bmsnews
genentech
Top URLs in Tweet in Entire Graph:
[1196]
https://t.co/VC8aIUeKyT[390]
https://t.co/GLhLFLmbod[162]
https://t.co/wUaohx5n0U[161]
https://t.co/DcSSuLjRB7[153]
https://t.co/Pu2zdAK9cN[153]
https://t.co/S1NEUBGowZ[153]
https://t.co/HG90l1fXhm[143]
https://t.co/lX2dEpz1yc[143]
https://t.co/74OjRkAAwG[119]
https://t.co/g2EPkRujntTop URLs in Tweet in G1:
[1184]
https://t.co/VC8aIUeKyT[96]
https://t.co/gGIj0iFGTV[83]
https://t.co/Bhxwy07Fyw[68]
https://t.co/eZPhsJnBjL[68]
https://t.co/qbz4lAjAm3[41]
https://t.co/VPpQDov0os[35]
https://t.co/jUH9TJ5rLV[35]
https://t.co/uxBL775ztK[32]
https://t.co/J9syAZEIwo[32]
https://t.co/8TIjvri1KATop URLs in Tweet in G2:
[48]
https://t.co/pdXJvZ3KPc[29]
https://t.co/vaihQjpBZg[28]
https://t.co/6yhLZ1cFpb[22]
https://t.co/C91QYMkSQK[22]
https://t.co/ePuZ2Br1hV[20]
https://t.co/dkZ4KjcAlp[19]
https://t.co/QgQNdA51K3[19]
https://t.co/QpmYtQS8SZ[18]
https://t.co/2PysaJa2U3[17]
https://t.co/8AgtDDbbPxTop URLs in Tweet in G3:
[119]
https://t.co/g2EPkRujnt[109]
https://t.co/dknRefhPcX[41]
https://t.co/FkIE2OMKuo[29]
https://t.co/reMQmAdQTa[29]
https://t.co/dHSrtC2MDi[29]
https://t.co/MkKSaFTuiX[26]
https://t.co/ogHePclXoG[25]
https://t.co/wD9HpRSs0w[25]
https://t.co/8MyHY5JNlP[24]
https://t.co/sACYC0iqqeTop URLs in Tweet in G4:
[390]
https://t.co/GLhLFLmbod[43]
https://t.co/ZWuaxAte2y[33]
https://t.co/VfjgUG8nIO[33]
https://t.co/fFPgDEpf9n[28]
https://t.co/soXjjO6P0J[21]
https://t.co/Phs9G92UMA[20]
https://t.co/ffkMwAM47K[20]
https://t.co/Leje4Zt38Q[20]
https://t.co/NRbndcurMH[14]
https://t.co/2DEqazzPhgTop URLs in Tweet in G5:
[146]
https://t.co/DcSSuLjRB7[141]
https://t.co/wUaohx5n0U[21]
https://t.co/sJ7xCAV0oJ[21]
https://t.co/whSsW2yLyJ[15]
https://t.co/9wFSA9l4ub[5]
https://t.co/IKBdudHoVZ[5]
https://t.co/uR0BUw69dP[5]
https://t.co/prdbmHtbgd[4]
https://t.co/P2yxGOwk1E[3]
https://t.co/MmupgI71hVTop URLs in Tweet in G6:
[153]
https://t.co/S1NEUBGowZ[153]
https://t.co/Pu2zdAK9cN[143]
https://t.co/lX2dEpz1yc[143]
https://t.co/74OjRkAAwG[94]
https://t.co/g1SJcyDDud[85]
https://t.co/SBKxhYKSMP[71]
https://t.co/dPVjiOpwIR[63]
https://t.co/I4J141e7Zu[63]
https://t.co/yUPHYkewZe[63]
https://t.co/kybnOyicPaTop URLs in Tweet in G7:
[153]
https://t.co/HG90l1fXhm[50]
https://t.co/NHQDNHHPmy[50]
https://t.co/aAE4GVtTDe[46]
https://t.co/8DvND5Ap3m[26]
https://t.co/BKP1QYGT2J[24]
https://t.co/onsrTzcinF[20]
https://t.co/bCD9MkCAiG[20]
https://t.co/byVqdOMvkp[17]
https://t.co/YFueVgEpzM[17]
https://t.co/DMRMaY617STop URLs in Tweet in G8:
[70]
https://t.co/BbLDOy4zlG[29]
https://t.co/HnkLwj9FET[24]
https://t.co/RMHgISeCyg[17]
https://t.co/v9PSwnaRgc[16]
https://t.co/Iah03Y9cQr[15]
https://t.co/ODdfl0qEvV[9]
https://t.co/HrJL9YwnqC[8]
https://t.co/GZdJnZpsOg[8]
https://t.co/RST9uw8TOh[8]
https://t.co/pS1AXn1YOLTop URLs in Tweet in G9:
[92]
https://t.co/qjxfZ836FC[32]
https://t.co/DLNkvNG0Vl[22]
https://t.co/yGsSqqFKhZ[17]
https://t.co/9yTnZbBn4Q[3]
https://t.co/Pzm4ZrhLxm[3]
https://t.co/rFdjhPftzH[3]
https://t.co/HVcfQek4Ib[3]
https://t.co/Lph3nX5MWN[3]
https://t.co/pmujvD1Uk4[2]
https://t.co/f4B78fDc3XTop URLs in Tweet in G10:
[57]
https://t.co/yto4B1dfGr[49]
https://t.co/DuOuJZIhk6[45]
https://t.co/mBGDFQwnZQ[10]
https://t.co/ITG8Wffg6S[7]
https://t.co/Xsy33Whfiv[5]
https://t.co/yaT1heyktP[5]
https://t.co/93EkxRGwsa[4]
https://t.co/NmbkVw9Lxx[3]
https://t.co/DPOPbuRZqc[3]
https://t.co/t9kj2CQM3LTop Domains in Tweet in Entire Graph:
[11311] t.co
[9] t
Top Domains in Tweet in G1:
[3992] t.co
Top Domains in Tweet in G2:
[842] t.co
Top Domains in Tweet in G3:
[619] t.co
Top Domains in Tweet in G4:
[1173] t.co
Top Domains in Tweet in G5:
[397] t.co
Top Domains in Tweet in G6:
[1379] t.co
Top Domains in Tweet in G7:
[703] t.co
Top Domains in Tweet in G8:
[308] t.co
Top Domains in Tweet in G9:
[181] t.co
Top Domains in Tweet in G10:
[209] t.co
Top Hashtags in Tweet in Entire Graph:
[663] BigPharma
[390] FoxNews
[243] hcldr
[224] drugprices
[206] ResistFox
[206] NoToFox
[189] HDPalooza
[169] hdpalooza
[156] BMJSports
[156] Austin
Top Hashtags in Tweet in G1:
[177] drugprices
[148] insulin4all
[146] BigPharma
[114] cdcwhistleblower
[102] GU19
[101] vaxwoke
[101] cdcfraud
[101] julieknew
[101] poisoninjection
[101] mmrautismlink
Top Hashtags in Tweet in G2:
[233] hcldr
[189] HDPalooza
[169] hdpalooza
[58] GoBoldly
[52] pinksocks
[46] drugprices
[43] patients
[43] evidence
[42] epatient
[34] patients2019
Top Hashtags in Tweet in G3:
[206] ResistFox
[206] NoToFox
[51] AFib
[51] HeartMonth
[51] MatterofMoments
[41] dysfunction
[41] pills
[28] LockThemUp
[25] FoxNewsIsUnAmerican
[21] Horseface
Top Hashtags in Tweet in G4:
[390] FoxNews
[51] RareDC2019
[35] raredisease
[33] digitalhealth
[33] asthma
[33] COPD
[29] meatsforsandwiches
[28] Boycotting
[28] LIARSOFTHELEFT
[28] INTOLERANT
Top Hashtags in Tweet in G5:
[473] BigPharma
[120] BigTobacco
[50] DoseofReality
[9] utpol
[9] corporatesocialism
[9] corporategreed
[9] utleg
[9] utah
[9] texas
[9] alec
Top Hashtags in Tweet in G6:
[143] Fayemi_v_DeBlasio
[143] T_Mobile
[89] SmartCar
[89] SmartCity
[89] VisionZero
[89] SmartRouteSystems
[65] WoleMFayemi
[63] TeleMedicine
[63] MotoriousFoundation
[63] SnowflakeLipgloss
Top Hashtags in Tweet in G7:
[153] Batman
[153] KeepGoing
[153] Patriots
[153] AllTalkNoWork
[76] MyPresident
[50] UntilMyLastBreath
[50] MAGA
[50] Patriot
[50] Family
[50] Grateful
Top Hashtags in Tweet in G8:
[104] TBThursday
[104] Hack4Health
[97] HealthHackathon
[83] bioventure
[29] MLTproud
[24] ZappiToBeHere
[17] CMO
[17] CMOMoves
[17] biotech
[16] StopTestingOnAnimals
Top Hashtags in Tweet in G9:
[5] MAGA
[5] NewYork
[4] ChrisWallace
[4] DEM
[3] notosocialism
[3] HoloLens2
[3] MixedReality
[3] EWTS2019
[2] DemocratsHateAmerica
Top Hashtags in Tweet in G10:
[156] BMJSports
[156] Austin
[111] ATX
[111] ATXMusic
[90] Obama
[90] Texas
[62] Billion
[57] Foundation
[57] Musically
[57] Systemizing
Top Words in Tweet in Entire Graph:
[16819] Words in Sentiment List#1: Positive
[12813] Words in Sentiment List#2: Negative
[0] Words in Sentiment List#3: (Add your own word list)
[921446] Non-categorized Words
[951078] Total Words
[17194] pfizer
[12494] designationsix
[11163] disney
[10691] foxnews
[10079] sponsors
Top Words in Tweet in G1:
[2751] merck
[2712] abbvie
[2657] lower
[2563] tax
[2516] costs
[2456] use
[2090] drug
[1714] drugs
[1699] cost
[1687] senatefinance
Top Words in Tweet in G2:
[2058] phrma
[573] chasedave
[573] rasushrestha
[573] joebabaian
[573] health_affairs
[573] academyhealth
[573] himss
[573] aneeshchopra
[573] chrissyfarr
[573] healthdata4all
Top Words in Tweet in G3:
[11900] pfizer
[10433] designationsix
[8681] disney
[8172] foxnews
[7687] lincolnmotorco
[7581] sponsors
[7432] keurig
[7383] capitalone
[7222] acehardware
[7099] here
Top Words in Tweet in G4:
[2660] pfizer
[2491] gsk
[2482] disney
[2475] novonordisk
[2468] universalpics
[2426] foxnews
[2386] bayer
[2352] sponsors
[2328] bayerus
[2224] novartis
Top Words in Tweet in G5:
[515] rxpricing
[324] bigpharma
[187] prices
[168] price
[163] senfinance
[162] time
[156] patients
[150] isnâ
[148] suffering
[147] hands
Top Words in Tweet in G6:
[1125] phrma
[617] nycmayorsoffice
[594] hhcnyc
[557] wef
[540] nycmayor
[463] nyctaxi
[458] bessemervp
[458] firstround
[458] svb_financial
[456] nycspeakercojo
Top Words in Tweet in G7:
[1662] ðÿ
[826] genentech
[539] potus
[509] su2c
[489] batmangothamusa
[489] brentbrieger
[489] acgatzki
[489] sloan_kettering
[489] storm4sethrich
[489] ocala_mattman
Top Words in Tweet in G8:
[234] jnjnews
[201] cornell
[189] jnjcares
[112] sponsors
[104] tbthursday
[104] grateful
[104] mentors
[104] hackers
[104] making
[104] year's
Top Words in Tweet in G9:
[265] pfizer
[119] sengillibrand
[115] arthurschwartz
[99] ties
[92] hey
[92] guys
[92] cool
[92] sengillibrandâ
[92] close
[92] bigots
Top Words in Tweet in G10:
[200] people
[180] kutx
[175] nytimes
[166] merck
[151] americancancer
[151] associatedpress
[151] 979thebox
[151] breakfastclubam
[151] 939wkys
[151] 1039wdkx
Top Word Pairs in Tweet in Entire Graph:
[7662] foxnews,sponsors
[7076] here,foxnews
[6546] ford,lincolnmotorco
[5614] disney,universalpics
[5422] bayer,bayerus
[4176] capitalone,gorving
[3539] gsk,novonordisk
[3334] pfizer,gsk
[3234] keurig,pfizer
[3234] pfizer,ford
Top Word Pairs in Tweet in G1:
[2368] use,tax
[1293] tax,breaks
[1256] drug,costs
[1252] breaks,lower
[1246] senatefinance,hearing
[1228] tax,break
[1225] break,lower
[1210] prescription,drugs
[1185] lower,costs
[1184] capaction,today's
Top Word Pairs in Tweet in G2:
[573] chasedave,rasushrestha
[573] rasushrestha,joebabaian
[573] joebabaian,health_affairs
[573] health_affairs,academyhealth
[573] academyhealth,himss
[573] himss,aneeshchopra
[573] aneeshchopra,chrissyfarr
[573] chrissyfarr,healthdata4all
[573] healthdata4all,mandibpro
[573] mandibpro,sacjai
Top Word Pairs in Tweet in G3:
[6521] ford,lincolnmotorco
[5820] foxnews,sponsors
[5234] here,foxnews
[4151] capitalone,gorving
[3346] disney,universalpics
[3209] keurig,pfizer
[3209] pfizer,ford
[3095] lincolnmotorco,acehardware
[3094] bayer,bayerus
[2955] acehardware,capitalone
Top Word Pairs in Tweet in G4:
[2468] gsk,novonordisk
[2328] bayer,bayerus
[2268] disney,universalpics
[1842] here,foxnews
[1842] foxnews,sponsors
[1376] pfizer,gsk
[1323] redlobster,starbucks
[1236] funder,joshfee77
[1236] joshfee77,thedemcoalition
[1236] gorving,bayer
Top Word Pairs in Tweet in G5:
[150] rxpricing,bigpharma
[147] patients,suffering
[147] suffering,hands
[147] price,gouging
[146] bigpharma,anything
[146] anything,shift
[146] shift,blameâ
[146] blameâ,america
[146] america,isnâ
[146] isnâ,falling
Top Word Pairs in Tweet in G6:
[333] nyc_dot,nyc311
[333] nyc311,nypdtransport
[333] nypdtransport,nycmayorsoffice
[333] nycmayorsoffice,nycgov
[333] nycgov,nycgob
[333] nycgob,nyctaxi
[333] nyctaxi,nychealthy
[333] nychealthy,nycseniors
[333] nycseniors,nycschools
[333] nycschools,nycmayorsfund
Top Word Pairs in Tweet in G7:
[615] ðÿ,ðÿ
[489] brentbrieger,acgatzki
[489] acgatzki,su2c
[489] su2c,genentech
[489] potus,storm4sethrich
[489] ocala_mattman,bigvolt50
[489] bigvolt50,jonmtaggart
[463] genentech,sloan_kettering
[463] sloan_kettering,potus
[463] jonmtaggart,amadmavworld
Top Word Pairs in Tweet in G8:
[108] jnjnews,jnjcares
[104] tbthursday,grateful
[104] sponsors,mentors
[104] mentors,hackers
[104] hackers,making
[104] making,year's
[104] eshipatcornell,jnjnews
[104] jnjcares,modmed
[104] modmed,ibm
[104] ibm,cornell
Top Word Pairs in Tweet in G9:
[92] hey,pfizer
[92] pfizer,guys
[92] guys,cool
[92] cool,sengillibrandâ
[92] sengillibrandâ,close
[92] close,ties
[92] ties,bigots
[92] bigots,jew
[92] jew,haters
[92] haters,fact
Top Word Pairs in Tweet in G10:
[151] americancancer,merck
[151] merck,associatedpress
[151] associatedpress,979thebox
[151] 979thebox,breakfastclubam
[151] breakfastclubam,939wkys
[151] 939wkys,1039wdkx
[151] 1039wdkx,kutx
[151] kutx,mtv
[151] mtv,essence
[151] essence,jetmagazine