The graph represents a network of 254 Twitter users whose recent tweets contained "#DoctorsSpeakUp", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Friday, 14 February 2020 at 23:57 UTC.
The tweets in the network were tweeted over the 8-day, 19-hour, 56-minute period from Thursday, 06 February 2020 at 01:32 UTC to Friday, 14 February 2020 at 21:28 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
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
Vertices : 254
Unique Edges : 664
Edges With Duplicates : 219
Total Edges : 883
Number of Edge Types : 5
MentionsInRetweet : 555
Replies to : 37
Mentions : 170
Retweet : 96
Tweet : 25
Self-Loops : 26
Reciprocated Vertex Pair Ratio : 0.0339943342776204
Reciprocated Edge Ratio : 0.0657534246575342
Connected Components : 9
Single-Vertex Connected Components : 3
Maximum Vertices in a Connected Component : 185
Maximum Edges in a Connected Component : 783
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 2.778639
Graph Density : 0.0113597460396502
Modularity : 0.496643
NodeXL Version : 1.0.1.423
Data Import : The graph represents a network of 254 Twitter users whose recent tweets contained "#DoctorsSpeakUp", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Friday, 14 February 2020 at 23:57 UTC.
The tweets in the network were tweeted over the 8-day, 19-hour, 56-minute period from Thursday, 06 February 2020 at 01:32 UTC to Friday, 14 February 2020 at 21:28 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
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 : TwitterSearch
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 Domains
Top Word Pairs in Tweet in Entire Graph:
[78] march,5th [46] #doctorsspeakup,#vaccinessavelives [43] drpanmd,cabanam [43] cabanam,immunizeco [41] #vaccineswork,#vaccinessavelives [40] 5th,#doctorsspeakup [37] nicoleb_md,drtoddwo [36] social,media [33] ameracadpeds,nicoleb_md [32] #vaccinessavelives,ameracadpeds Top Word Pairs in Tweet in G1:
[19] #vaccineswork,#vaccinessavelives [18] thepedimom,doritmi [12] thank,shotsheard [12] shotsheard,amazing [12] amazing,volunteers [12] volunteers,helped [12] helped,#antivaxx [12] #antivaxx,attack [12] attack,last [12] last,month Top Word Pairs in Tweet in G2:
[52] march,5th [34] #doctorsspeakup,#vaccinessavelives [34] nicoleb_md,drtoddwo [33] 5th,#doctorsspeakup [33] drpanmd,cabanam [33] cabanam,immunizeco [30] #vaccinessavelives,ameracadpeds [30] ameracadpeds,nicoleb_md [28] drtoddwo,zdoggmd [28] zdoggmd,drpanmd Top Word Pairs in Tweet in G3:
[23] #pediatriktok,#doctorsspeakup [21] social,media [21] march,5th [17] tik,tok [17] tok,docs [17] docs,remind [17] remind,pennywise [17] pennywise,kind [17] kind,goofy [17] goofy,fun Top Word Pairs in Tweet in G4:
[22] doctor,give [22] give,few [22] few,years [22] years,currently [22] currently,public [22] public,health [22] health,professional [22] professional,medical [22] medical,student [22] student,support Top Word Pairs in Tweet in G5:
[3] nicoleb_md,zdoggmd [3] zdoggmd,colorado_aap [3] colorado_aap,ameracadpeds [3] ameracadpeds,drpanmd [3] drpanmd,cabanam [3] cabanam,immunizeco [3] aafp,cossi_vaccine [3] cossi_vaccine,ipaworldorg [3] ipaworldorg,vaccineuk [3] vaccineuk,sabinvaccine Top Word Pairs in Tweet in G6:
[4] vaccines,2020 [4] 2020,big [4] big,pharma [4] pharma,admissions [4] admissions,fraud [4] fraud,#who [4] #who,#vaccinesafetysummit [4] #vaccinesafetysummit,#vaccinefailures [4] #vaccinefailures,#nopostmarketingsurveilance [4] #nopostmarketingsurveilance,#doctorsspeakup Top Word Pairs in Tweet in G7:
[12] #vaccineswork,#vaccinessavelives [7] huge,thx [7] thx,kidoctr [7] kidoctr,posting [7] posting,stevensalzberg1 [7] stevensalzberg1,writing [7] writing,piece [7] piece,#vaccineswork [7] #vaccinessavelives,20 [7] 20,under Top Word Pairs in Tweet in G8:
[4] #healthinsurance,put [4] put,#profits [4] #profits,over [4] over,#patients [4] #patients,#doctorsspeakup [4] aetna,cvspharmacy [3] time,curtain [3] curtain,pulled [3] pulled,back [3] back,show Top Word Pairs in Tweet in G9:
[2] march,5th [2] 5th,#vaccineswork [2] #vaccineswork,#doctorsspeakup [2] #doctorsspeakup,nysaapch2 [2] nysaapch2,eveamk [2] eveamk,saemak [2] saemak,#tweetiatrician [2] #tweetiatrician,#kidsfirst [2] #kidsfirst,#pediatrics [2] #pediatrics,#vaccinessavelives Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G8:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: