The graph represents a network of 9,245 Twitter users whose tweets in the requested range contained "measles", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 13 August 2022 at 22:09 UTC.
The requested start date was Saturday, 13 August 2022 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 5-day, 17-hour, 22-minute period from Saturday, 06 August 2022 at 18:23 UTC to Friday, 12 August 2022 at 11:46 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 : 9245
Unique Edges : 6292
Edges With Duplicates : 11156
Total Edges : 17448
Number of Edge Types : 5
Retweet : 4760
MentionsInRetweet : 6049
Mentions : 3435
Tweet : 1248
Replies to : 1956
Self-Loops : 1301
Reciprocated Vertex Pair Ratio : 0.0164701296169964
Reciprocated Edge Ratio : 0.0324065196548418
Connected Components : 1231
Single-Vertex Connected Components : 437
Maximum Vertices in a Connected Component : 5040
Maximum Edges in a Connected Component : 11206
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 6.618877
Graph Density : 0.000122044287449752
Modularity : 0.592188
NodeXL Version : 1.0.1.502
Data Import : The graph represents a network of 9,245 Twitter users whose tweets in the requested range contained "measles", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 13 August 2022 at 22:09 UTC.
The requested start date was Saturday, 13 August 2022 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 5-day, 17-hour, 22-minute period from Saturday, 06 August 2022 at 18:23 UTC to Friday, 12 August 2022 at 11:46 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 : GraphServerTwitterSearch
Graph Term : measles
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:
[852] measles,polio [715] childhood,diseases [653] mumps,etc [650] measles,mumps [650] chickenpox,mumps [645] polio,measles [641] called,childhood [640] polio,chickenpox [637] etc,called [637] diseases,special Top Word Pairs in Tweet in G1:
[606] measles,polio [606] called,childhood [606] childhood,diseases [605] polio,chickenpox [605] chickenpox,mumps [605] mumps,etc [605] etc,called [605] diseases,special [605] special,adaptation [604] laurahelmuth,measles Top Word Pairs in Tweet in G2:
[336] polio,measles [283] viruses,polio [283] measles,exist [283] exist,countries [283] countries,much [283] much,high [263] important,fact [263] fact,viruses [263] high,vax [262] michaelmina_lab,important Top Word Pairs in Tweet in G3:
[477] nationalism,infantile [477] infantile,disease [477] disease,measles [477] measles,mankind [477] mankind,albert [477] albert,einstein [476] johnfugelsang,nationalism [3] michaelmina_lab,important [3] important,fact [3] fact,viruses Top Word Pairs in Tweet in G4:
[48] measles,outbreak [41] measles,mumps [29] 50,children [27] whooping,cough [26] polio,measles [24] feared,dead [24] rivers,communities [23] children,feared [22] mumps,rubella [19] dead,rivers Top Word Pairs in Tweet in G5:
[264] measles,mumps [218] cheridinovo,measles [209] mumps,vaccine [200] covid,vaccine [190] go,school [187] vaccine,go [187] school,covid [186] vaccine,logic [16] polio,measles [11] welcome,back Top Word Pairs in Tweet in G6:
[124] covid,19 [87] caught,measles [86] mom,took [86] took,mmr [86] mmr,shots [86] shots,monday [86] monday,caught [86] measles,friday [86] friday,right [86] right,wonder Top Word Pairs in Tweet in G7:
[6] 腹減った,看 [4] 子,腹減った [4] コ,ナ脳 [3] drpsychosomatic,麻疹の場合不顕性感染は1割にも満たないので新型コロナウイルスより遥かにワクチンによる集団免疫は獲得できるのでしょうけど [3] 麻疹の場合不顕性感染は1割にも満たないので新型コロナウイルスより遥かにワクチンによる集団免疫は獲得できるのでしょうけど,その解像度でファイザーモデルナを推してたのあの人達 [3] その解像度でファイザーモデルナを推してたのあの人達,と改めて怖くなりました [3] と改めて怖くなりました,参考 [2] 死亡が減ったとか感染が減ったとか聞くが,イギリスでもカナダでもオーストラリアでも [2] イギリスでもカナダでもオーストラリアでも,医療が逼迫して救急車の待ち時間が過去最悪を更新しているというニュースが途切れることがこの冬からない [2] 医療が逼迫して救急車の待ち時間が過去最悪を更新しているというニュースが途切れることがこの冬からない,なぜなのか Top Word Pairs in Tweet in G8:
[200] immune,system [195] know,#covid19 [195] #covid19,suppresses [195] suppresses,immune [195] system,mild [195] mild,infection [195] infection,healthy [195] healthy,person [195] person,measles [194] drclairetaylor,know Top Word Pairs in Tweet in G9:
[5] protecths,schmevilagain [5] schmevilagain,grahamc37637916 [5] grahamc37637916,mtstringer1 [5] mtstringer1,tastymorsel6 [5] tastymorsel6,trubyte [5] trubyte,antilibmob [5] antilibmob,trumpster20 [5] trumpster20,gmarshall1965 [4] measles,mumps [4] johnmor49451893,protecths Top Word Pairs in Tweet in G10:
[85] public,health [83] present,cadre [83] cadre,public [83] health,leadership [83] leadership,proved [83] proved,itself [83] itself,unfit [83] unfit,meet [83] meet,challenges [83] challenges,far 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 G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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 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:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: