The graph represents a network of 8,776 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, 17 December 2022 at 23:09 UTC.
The requested start date was Saturday, 17 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, 0-hour, 17-minute period from Tuesday, 13 December 2022 at 11:31 UTC to Friday, 16 December 2022 at 11:49 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 : 8776
Unique Edges : 4517
Edges With Duplicates : 13752
Total Edges : 18269
Number of Edge Types : 5
Retweet : 5305
MentionsInRetweet : 6169
Replies to : 1358
Tweet : 1007
Mentions : 4430
Self-Loops : 1033
Reciprocated Vertex Pair Ratio : 0.0139059304703476
Reciprocated Edge Ratio : 0.027430415490117
Connected Components : 1025
Single-Vertex Connected Components : 432
Maximum Vertices in a Connected Component : 5675
Maximum Edges in a Connected Component : 13606
Maximum Geodesic Distance (Diameter) : 27
Average Geodesic Distance : 5.741482
Graph Density : 0.000128763501598506
Modularity : 0.520079
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 8,776 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, 17 December 2022 at 23:09 UTC.
The requested start date was Saturday, 17 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, 0-hour, 17-minute period from Tuesday, 13 December 2022 at 11:31 UTC to Friday, 16 December 2022 at 11:49 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:
[2833] smallpox,measles [2803] infectious,diseases [2797] measles,many [2794] cholera,syphilis [2793] many,infectious [2792] gonorrhea,smallpox [2792] live,cholera [2792] syphilis,gonorrhea [2788] elisaperego78,live [608] anti,vaxx Top Word Pairs in Tweet in G1:
[2713] infectious,diseases [2713] cholera,syphilis [2713] smallpox,measles [2712] gonorrhea,smallpox [2712] measles,many [2712] live,cholera [2712] syphilis,gonorrhea [2712] many,infectious [2710] elisaperego78,live [9] subsidising,people Top Word Pairs in Tweet in G2:
[592] vaxx,madness [592] descent,desantis [592] undermining,vaccines [592] desantis,anti [592] anti,vaxx [592] reminder,undermining [592] vaccines,central [592] madness,reminder [592] consider,descent [591] simonwdc,consider Top Word Pairs in Tweet in G3:
[91] measles,outbreak [45] outbreak,ohio [33] young,vaccinated [33] unvaccinated,measles [32] affecting,children [32] children,young [32] ohio,explodes [32] explodes,affecting [29] ohio,measles [28] measles,mumps Top Word Pairs in Tweet in G4:
[30] barryjohnreid21,shocktraumarn [24] shadowdroid616,tomsirolimus [24] jtmayes3,swedishchf [24] thskicksarefire,idunsdaughter [24] monstercoyliar,doritmi [24] aspalaasnasntyr,pawley_robert [24] adrian7745,statsguyuk [24] doom37455413,johannaszabo1 [24] tomsirolimus,krebiozen [24] johannaszabo1,nicky111lady Top Word Pairs in Tweet in G5:
[50] parents,protect [50] #measles,making [50] making,comeback [50] protect,children [48] seeing,resurgence [48] resurgence,diseases [48] diseases,parents [48] comeback,seeing [44] children,measle [27] व,द Top Word Pairs in Tweet in G6:
[114] ग,वरच [90] ब,लक [83] स,न [79] mybmchealth,ग [63] घ,य [59] ण,य [58] य,प [58] प,स [58] लक,ल [57] लस,घ Top Word Pairs in Tweet in G7:
[165] measles,polio [154] polio,platform [154] pro,measles [153] 2024,republican [153] running,pro [153] candidates,running [153] republican,primary [153] primary,going [153] going,candidates [152] esqueer_,2024 Top Word Pairs in Tweet in G8:
[12] measles,mumps [9] mumps,rubella [9] polio,smallpox [8] try,having [8] rubella,diphtheria [8] having,polio [8] polio,measles [8] measles,outbreak [8] smallpox,measles [6] before,start Top Word Pairs in Tweet in G9:
[60] reported,spring [60] enterovirus,d68 [60] rsv,severe [60] d68,parechovirus [60] severe,rhinovirus [60] spring,covid [60] covid,rsv [60] h1n1,mpox [60] outbreaks,reported [60] parechovirus,influenza Top Word Pairs in Tweet in G10:
[4] 仏代表で体調不良選手続出,指揮官はラビオの決勝出場に自信 [4] ａｆｐ,時事 [4] 指揮官はラビオの決勝出場に自信,ａｆｐ [4] gt,40 [4] インフルエンザのような症状の選手が何人かいるが,それがまん延しないようにしている [4] 釣ったサバの刺身,釣ったイカの刺身 [4] 沖縄タイムス,プラス [2] 一部有料サイトでしか公開されていないので詳細は伏せますが,この件 [2] で対応,思っていたのと違います [2] これ以上,ひどくなっても変わらない Top Replied-To in Entire Graph:
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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: