The graph represents a network of 8,508 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, 24 December 2022 at 23:09 UTC.
The requested start date was Saturday, 24 December 2022 at 01:01 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 3-day, 18-hour, 28-minute period from Monday, 19 December 2022 at 17:21 UTC to Friday, 23 December 2022 at 11:50 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 : 8508
Unique Edges : 4855
Edges With Duplicates : 11897
Total Edges : 16752
Number of Edge Types : 5
Retweet : 4833
MentionsInRetweet : 5552
Tweet : 1136
Mentions : 3534
Replies to : 1697
Self-Loops : 1168
Reciprocated Vertex Pair Ratio : 0.0162768136250943
Reciprocated Edge Ratio : 0.0320322443784472
Connected Components : 1098
Single-Vertex Connected Components : 444
Maximum Vertices in a Connected Component : 5249
Maximum Edges in a Connected Component : 12217
Maximum Geodesic Distance (Diameter) : 28
Average Geodesic Distance : 6.005993
Graph Density : 0.000130261375501544
Modularity : 0.549483
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 8,508 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, 24 December 2022 at 23:09 UTC.
The requested start date was Saturday, 24 December 2022 at 01:01 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 3-day, 18-hour, 28-minute period from Monday, 19 December 2022 at 17:21 UTC to Friday, 23 December 2022 at 11:50 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:
[2034] childhood,immunizations [2029] basic,childhood [2029] hit,10 [2029] year,low [2029] 10,year [2029] generations,needed [2029] immunizations,hit [2029] florida,basic [2029] previous,generations [2029] low,previous Top Word Pairs in Tweet in G1:
[1985] 10,year [1985] year,low [1985] hit,10 [1985] generations,needed [1985] low,previous [1985] previous,generations [1985] immunizations,hit [1985] florida,basic [1985] basic,childhood [1985] childhood,immunizations Top Word Pairs in Tweet in G2:
[61] measles,outbreak [56] measles,vaccine [53] mild,viral [53] viral,infection [36] vaccine,model [36] infection,measles [36] anemia,mild [32] against,measles [29] measles,mumps [27] 1989,cited Top Word Pairs in Tweet in G3:
[168] takes,bird [168] immunology,takes [168] quality,immunology [168] rapidly,deteriorating [168] deteriorating,stuff [168] stuff,honestly [168] app,rapidly [168] bird,app [167] lisa_iannattone,quality [34] whereas,covid Top Word Pairs in Tweet in G4:
[109] million,children [104] measles,outbreak [72] measles,cases [60] against,measles [59] children,country [49] vaccinated,against [47] measles,million [46] country,vaccinated [46] more,million [46] afghanistan,more Top Word Pairs in Tweet in G5:
[67] flight,bangkok [67] traveller,case [67] return,flight [67] measles,identified [67] infectious,return [67] case,infectious [67] case,measles [67] identified,overseas [67] overseas,traveller [66] vicgovdh,case Top Word Pairs in Tweet in G6:
[78] measles,outbreak [74] central,ohio [73] slowing,down [73] largest,measles [73] signs,slowing [73] outbreak,happening [73] ohio,signs [73] country's,largest [73] happening,central [72] axios,country's Top Word Pairs in Tweet in G7:
[51] #measles,#rubella [48] #rubella,#campaign [48] #campaign,#vaccination [48] #vaccination,#vitamina [47] #momentumindia,#specialvaccinationcamps [47] #vitamina,#momentumindia [46] #mybmc,#publichealth [46] #specialvaccinationcamps,#mybmc [41] mybmchealth,#measles [35] य,त Top Word Pairs in Tweet in G8:
[13] cachepast,niall_joe [13] maryloupatey,dann58638436 [13] maggiemay_313,villagerssn [11] villagerssn,mfuzzbox [11] jagerx9,leelasik [11] mfuzzbox,takethatct [11] cas2328,hoothathuh [11] mrdannyteal,cubanigar [11] zeviax3,nathanaelyoung [11] takethatct,maryloupatey Top Word Pairs in Tweet in G9:
[112] measles,vaccine [110] meanwhile,actual [110] unvaccinated,children [110] elon,musk [110] around,world [110] vaccine,elon [110] children,dying [110] musk,buddy [110] world,measles [110] dying,around Top Word Pairs in Tweet in G10:
[4] 死後に感染判明,読売新聞オンライン [4] 受診見送った３０代男性死亡,死後に感染判明 [4] 市販検査キットで３回,陰性 [4] 陰性,受診見送った３０代男性死亡 [2] デルタの時はこの世の終わりって感じだったけど,今回もなかなかです [2] 中１,２共に移動教室 [2] おそらく４,５日分出しているのでしょう [2] 明日,12 [2] は,医師や看護師の感染により [2] 日本で火葬されずに待たされてる人達の事は一切報道しない,詐欺みたい Top Replied-To in Entire Graph:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: