The graph represents a network of 160 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 Wednesday, 19 February 2020 at 12:17 UTC.
The tweets in the network were tweeted over the 8-day, 10-hour, 3-minute period from Sunday, 09 February 2020 at 16:14 UTC to Tuesday, 18 February 2020 at 02:18 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 : 160
Unique Edges : 386
Edges With Duplicates : 189
Total Edges : 575
Number of Edge Types : 5
Retweet : 64
Replies to : 43
MentionsInRetweet : 331
Tweet : 19
Mentions : 118
Self-Loops : 20
Reciprocated Vertex Pair Ratio : 0.0253456221198157
Reciprocated Edge Ratio : 0.049438202247191
Connected Components : 8
Single-Vertex Connected Components : 1
Maximum Vertices in a Connected Component : 137
Maximum Edges in a Connected Component : 545
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.098781
Graph Density : 0.0174921383647799
Modularity : 0.42038
NodeXL Version : 1.0.1.423
Data Import : The graph represents a network of 160 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 Wednesday, 19 February 2020 at 12:17 UTC.
The tweets in the network were tweeted over the 8-day, 10-hour, 3-minute period from Sunday, 09 February 2020 at 16:14 UTC to Tuesday, 18 February 2020 at 02:18 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:
[53] march,5th [27] social,media [25] drpanmd,cabanam [25] cabanam,immunizeco [24] 5th,#doctorsspeakup [23] doctor,give [23] give,few [23] few,years [23] years,currently [23] currently,public Top Word Pairs in Tweet in G1:
[34] march,5th [18] #doctorsspeakup,#vaccinessavelives [17] 5th,#doctorsspeakup [17] nicoleb_md,drtoddwo [16] #vaccinessavelives,#vaccineswork [15] drpanmd,cabanam [15] cabanam,immunizeco [12] ameracadpeds,nicoleb_md [12] #vaccineswork,#doctorsspeakup [10] yup,colorado_aap Top Word Pairs in Tweet in G2:
[23] doctor,give [23] give,few [23] few,years [23] years,currently [23] currently,public [23] public,health [23] health,professional [23] professional,medical [23] medical,student [23] student,support Top Word Pairs in Tweet in G3:
[13] vaccine,advocates [13] #vaccine,#science [12] peterhotez,drpauloffit [12] drpauloffit,zdoggmd [12] re,#vaccine [12] #science,benefits [10] anti,vaxx [9] kidoctr,sheepduster [9] sheepduster,nicoleb_md [9] nicoleb_md,drpanmd Top Word Pairs in Tweet in G4:
[5] drpanmd,cabanam [5] cabanam,immunizeco [4] zdoggmd,colorado_aap [4] colorado_aap,ameracadpeds [4] vaccine,advocates [3] #vaccineswork,#vaccinessavelives [3] peterhotez,drpauloffit [3] drpauloffit,zdoggmd [3] anti,vaxx [3] re,#vaccine 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:
[13] #pediatriktok,#doctorsspeakup [12] march,5th [12] 5th,peds [12] peds,using [12] using,#pediatriktok [12] #doctorsspeakup,blast [12] blast,social [12] social,media [12] media,#vaccines [12] #vaccines,helpful Top Word Pairs in Tweet in G7:
[3] wow,didn [3] didn,realize [3] realize,random [3] random,moms [3] moms,much [3] much,time [3] time,hands [3] hands,tweeting [3] tweeting,physicians [3] physicians,care Top Word Pairs in Tweet in G8:
[4] njsendems,govmurphy [4] govmurphy,firstladynj [4] firstladynj,vaccines [4] vaccines,2020 [4] 2020,big [4] big,pharma [4] pharma,admissions [4] admissions,fraud [4] fraud,#who [4] #who,#vaccinesafetysummit Top Word Pairs in Tweet in G9:
[5] nurses,y'all [5] y'all,need [5] need,go [5] go,strike [5] strike,asap [5] asap,#hongkong [5] #hongkong,hospital [5] hospital,staff [5] staff,union [5] union,hazmat Top Word Pairs in Tweet in G10:
[4] know,increased [4] increased,censorship [4] censorship,social [4] social,media [4] media,over [4] over,past [4] past,years [4] years,realm [4] realm,health [4] health,cdc Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G7:
Top Replied-To in G8:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
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: