#DoctorsSpeakUp, Twitter, 10/11/2021 12:16:19 AM, 264261


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#DoctorsSpeakUp_2021-10-10_17-13-32.xlsx
#DoctorsSpeakUp_2021-10-10_17-13-32.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
October 11, 2021
Short Description:
#DoctorsSpeakUp via NodeXL https://bit.ly/30iAOOh
@us4mf
@drtessat
@dfreedman7
@nikkinovax
@neacht
@doctorsspeakup
@lily95075891
@weimmom
@vicpatriot1
@barbaraannflrn

Top hashtags:
#vaccines
#doctorsspeakup
#cdc
#covid19
#coronavirus
#vaccine
#safeandeffective

Description:
Description
The graph represents a network of 45 Twitter users whose tweets in the requested range contained "#DoctorsSpeakUp", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 11 October 2021 at 00:13 UTC.

The requested start date was Monday, 11 October 2021 at 00:01 UTC and the maximum number of days (going backward) was 14.

The maximum number of tweets collected was 7,500.



There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".

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.


Author Description


Overall Graph Metrics
Vertices : 45
Unique Edges : 6
Edges With Duplicates : 78
Total Edges : 84
Number of Edge Types : 3
Retweet : 39
MentionsInRetweet : 39
Tweet : 6
Self-Loops : 6
Reciprocated Vertex Pair Ratio : 0
Reciprocated Edge Ratio : 0
Connected Components : 6
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 19
Maximum Edges in a Connected Component : 37
Maximum Geodesic Distance (Diameter) : 2
Average Geodesic Distance : 1.699463
Graph Density : 0.0196969696969697
Modularity : 0.426942
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 45 Twitter users whose tweets in the requested range contained "#DoctorsSpeakUp", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 11 October 2021 at 00:13 UTC.

The requested start date was Monday, 11 October 2021 at 00:01 UTC and the maximum number of days (going backward) was 14.

The maximum number of tweets collected was 7,500.



There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".

Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : GraphServerTwitterSearch
Graph Term : #DoctorsSpeakUp
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Edge Color : Edge Weight
Edge Width : Edge Weight
Edge Alpha : Edge Weight
Vertex Radius : Betweenness Centrality

Top Influencers: Top 10 Vertices, Ranked by Betweenness Centrality
Top URLs
Top Domains
Top Domains in Tweet in Entire Graph:
[1] twitter.com

Top Domains in Tweet in G6:
[1] twitter.com

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[23] vaccines
[19] doctorsspeakup
[19] cdc
[2] covid19
[2] coronavirus
[1] vaccine
[1] safeandeffective
[1] coronaviruspandemic
[1] acip
[1] us4mf



Top Hashtags in Tweet in G1:
[20] vaccines
[19] cdc
[1] acip
[1] doctorsspeakup
[1] us4mf
[1] medicalfreedom
[1] bodilyautonomy
[1] realimmunity
[1] realhealth
[1] learntherisk

Top Hashtags in Tweet in G2:
[10] doctorsspeakup

Top Hashtags in Tweet in G3:
[1] vaccineswork
[1] doctorsspeakup

Top Hashtags in Tweet in G4:
[1] doctorsspeakup

Top Hashtags in Tweet in G5:
[4] doctorsspeakup
[3] vaccines
[1] vaccine
[1] safeandeffective

Top Hashtags in Tweet in G6:
[2] doctorsspeakup
[2] covid19
[2] coronavirus
[1] coronaviruspandemic

Top Words
Top Words in Tweet in Entire Graph:
[57] doses
[23] #vaccines
[19] #doctorsspeakup
[19] #cdc
[19] vaccine
[19] schedule
[19] 1960s
[19] 1980s
[19] 24
[19] 69

Top Words in Tweet in G1:
[57] doses
[20] #vaccines
[19] #cdc
[19] vaccine
[19] schedule
[19] 1960s
[19] 1980s
[19] 24
[19] 69
[19] 72

Top Words in Tweet in G2:
[10] #doctorsspeakup
[10] bc
[10] paid
[10] corrupt
[10] industry
[10] trust
[10] products
[10] promoting
[10] safe
[9] drtessat

Top Words in Tweet in G3:
[18] yrs
[9] med
[9] school
[9] peds
[9] neuro
[9] yr
[9] epilepsy
[9] training
[9] never
[9] seen

Top Words in Tweet in G4:
[4] seems
[4] multiply
[3] dr
[3] stephen
[3] evans
[3] professor
[3] pharmacoepidemiology
[3] adjuvants
[3] reactogenicity
[3] many

Top Words in Tweet in G5:
[4] tweet
[4] #doctorsspeakup
[3] #vaccines
[2] day
[2] long
[2] harm
[2] kill
[2] children

Top Words in Tweet in G6:
[2] #doctorsspeakup
[2] make
[2] treatment
[2] decisions
[2] based
[2] outcomes
[2] instead
[2] politics
[2] #covid19
[2] #coronavirus

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[19] #cdc,vaccine
[19] vaccine,schedule
[19] schedule,1960s
[19] 1960s,doses
[19] doses,1980s
[19] 1980s,24
[19] 24,doses
[19] doses,69
[19] 69,72
[19] 72,doses

Top Word Pairs in Tweet in G1:
[19] #cdc,vaccine
[19] vaccine,schedule
[19] schedule,1960s
[19] 1960s,doses
[19] doses,1980s
[19] 1980s,24
[19] 24,doses
[19] doses,69
[19] 69,72
[19] 72,doses

Top Word Pairs in Tweet in G2:
[10] #doctorsspeakup,bc
[10] bc,paid
[10] paid,corrupt
[10] corrupt,industry
[10] industry,trust
[10] trust,products
[10] products,promoting
[10] promoting,safe
[9] drtessat,#doctorsspeakup

Top Word Pairs in Tweet in G3:
[9] yrs,med
[9] med,school
[9] school,yrs
[9] yrs,peds
[9] peds,neuro
[9] neuro,yr
[9] yr,epilepsy
[9] epilepsy,training
[9] training,never
[9] never,seen

Top Word Pairs in Tweet in G4:
[3] dr,stephen
[3] stephen,evans
[3] evans,professor
[3] professor,pharmacoepidemiology
[3] pharmacoepidemiology,seems
[3] seems,adjuvants
[3] adjuvants,multiply
[3] multiply,reactogenicity
[3] reactogenicity,many
[2] nikkinovax,dr

Top Word Pairs in Tweet in G5:
[3] #doctorsspeakup,#vaccines
[2] tweet,tweet
[2] tweet,day
[2] day,long
[2] long,#doctorsspeakup
[2] #vaccines,harm
[2] harm,kill
[2] kill,children

Top Word Pairs in Tweet in G6:
[2] #doctorsspeakup,make
[2] make,treatment
[2] treatment,decisions
[2] decisions,based
[2] based,outcomes
[2] outcomes,instead
[2] instead,politics
[2] politics,#covid19
[2] #covid19,#coronavirus

Top Replied-To
Top Mentioned
Top Tweeters
Top Tweeters in Entire Graph:
@iutruthtellers
@vishal_klc
@anonylyzer13
@verity36405235
@happypanda826
@hecatecrossroad
@aggaalka
@joes619
@weimmom
@drtessat

Top Tweeters in G1:
@iutruthtellers
@happypanda826
@hecatecrossroad
@aggaalka
@joes619
@the_herbig
@dianaprincetl
@marie28880819
@ginicourt
@cya_tya9qx5

Top Tweeters in G2:
@vishal_klc
@verity36405235
@drtessat
@lily95075891
@davidstevenson1
@wendyatthebay
@neacht
@vicpatriot1
@maryjon3840
@busdepot

Top Tweeters in G3:
@guethlied
@janeskocdopole
@barbaraannflrn
@dfreedman7
@suzycoos
@t1nyb0dy
@yosha7
@mbam99
@caseysmom11

Top Tweeters in G4:
@anonylyzer13
@sparkygirl56
@nikkinovax

Top Tweeters in G5:
@william95147321
@rochell45393490

Top Tweeters in G6:
@weimmom
@doctorsspeakup