The graph represents a network of 52 specified Twitter users (User List). The network was obtained from Twitter on Thursday, 10 June 2021 at 17:20 UTC.
It shows who was mentioned or replied to in the users' recent tweets.
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 : 2380
Unique Edges : 1823
Edges With Duplicates : 6581
Total Edges : 8404
Number of Edge Types : 5
Mentions : 2961
Retweet : 1184
Replies to : 313
MentionsInRetweet : 1680
Tweet : 2266
Self-Loops : 2295
Reciprocated Vertex Pair Ratio : 0.00290486564996369
Reciprocated Edge Ratio : 0.0057929036929761
Connected Components : 10
Single-Vertex Connected Components : 3
Maximum Vertices in a Connected Component : 2131
Maximum Edges in a Connected Component : 7256
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 4.417547
Graph Density : 0.000487811770357576
Modularity : 0.287236
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 52 specified Twitter users (User List). The network was obtained from Twitter on Thursday, 10 June 2021 at 17:20 UTC.
It shows who was mentioned or replied to in the users' recent tweets.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterUsers
Graph Term : User List
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 : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[244] covid,19 [100] #respiratory,#thewiderwiserview [99] condition,summary [85] mental,health [85] recruiting,condition [84] status,recruiting [67] health,care [58] de,la [50] covid,alert [50] alert,sa Top Word Pairs in Tweet in G1:
[18] covid,19 [15] cervical,cancer [13] #cervicalcancer,screening [13] #cervicalcancer,elimination [11] screening,treatment [11] uicc,jhpiego [11] 00,utc [10] climate,change [9] single,dose [9] #hpv,vaccine Top Word Pairs in Tweet in G2:
[41] covid,19 [24] mental,health [20] reproductive,health [18] #balancingthepower,#mhdialogue [18] maternal,health [18] health,care [17] middle,east [17] climate,change [16] health,services [15] water,diplomacy Top Word Pairs in Tweet in G3:
[31] covid,19 [13] women,children [5] child,health [5] children,adolescents [5] global,health [5] policy,makers [5] public,health [4] young,people [4] population,health [4] gender,equality Top Word Pairs in Tweet in G4:
[12] public,health [10] street,nw [9] covid,19 [8] 17th,street [6] class,2021 [6] emoryepi,emoryrollins [5] adams,morgan [4] environmental,health [4] interdisciplinary,teams [4] week,confounder Top Word Pairs in Tweet in G5:
[3] women,higher [3] covid,19 [3] pregnancy,related [3] afshanhameedmd,dianaswolfe [3] nataliebello9,cardiopcimom [3] melindadavismd,minnowwalsh [2] pregnant,women [2] higher,risk [2] #covid19,#pregnancy [2] 19,vaccine Top Word Pairs in Tweet in G6:
[26] mental,health [19] health,care [18] #bmmhw2020,#makeshifthappen [16] #hrsawomenschat,#nwhw [15] #mhequityhour,drguptamd [9] uterine,fibroids [9] maternal,health [9] black,moms [8] black,women [8] ob,gyn Top Word Pairs in Tweet in G7:
[20] de,la [15] urban,health [12] covid,19 [11] para,la [11] la,salud [10] clave,para [10] salud,poblacional [10] en,el [9] ciudad,vivienda [9] vivienda,determinantes Top Word Pairs in Tweet in G8:
[21] diropspaho,#covid19 [19] covid,19 [14] food,safety [11] love,love [10] human,rights [9] safe,food [7] #covid19,vaccines [7] global,health [7] reproductive,health [6] health,care Top Word Pairs in Tweet in G9:
[10] mag2art,cellmigration [5] pj_saez,mag2art [3] time,lapse [3] millwardlindsey,actonlab [3] cell,migration [2] tissue,collisions [2] cells,adapt [2] cell,line [2] naegleria,amoebae [2] cellmigration,webinars Top Word Pairs in Tweet in G10:
[50] covid,alert [50] alert,sa [50] sa,app [29] total,confirmed [29] confirmed,#covid19 [29] #covid19,cases [29] total,deaths [29] total,recoveries [28] total,vaccines [28] vaccines,administered Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
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Top Tweeters in G5:
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Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: