The graph represents a network of 8,311 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, 10 December 2022 at 23:14 UTC.
The requested start date was Saturday, 10 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 2-day, 19-hour, 31-minute period from Tuesday, 06 December 2022 at 16:12 UTC to Friday, 09 December 2022 at 11:44 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 : 8311
Unique Edges : 5739
Edges With Duplicates : 10702
Total Edges : 16441
Number of Edge Types : 5
Retweet : 4507
MentionsInRetweet : 5893
Tweet : 1426
Replies to : 1700
Mentions : 2915
Self-Loops : 1464
Reciprocated Vertex Pair Ratio : 0.0146383160594081
Reciprocated Edge Ratio : 0.0288542544229149
Connected Components : 1305
Single-Vertex Connected Components : 649
Maximum Vertices in a Connected Component : 4815
Maximum Edges in a Connected Component : 11383
Maximum Geodesic Distance (Diameter) : 26
Average Geodesic Distance : 7.681543
Graph Density : 0.000137494839961711
Modularity : 0.579784
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 8,311 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, 10 December 2022 at 23:14 UTC.
The requested start date was Saturday, 10 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 2-day, 19-hour, 31-minute period from Tuesday, 06 December 2022 at 16:12 UTC to Friday, 09 December 2022 at 11:44 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:
[868] measles,outbreak [749] immune,system [609] measles,mumps [552] covid,19 [446] colds,flu [443] flu,strep [441] messing,immune [441] 19,messing [441] strep,infections [441] wave,colds Top Word Pairs in Tweet in G1:
[158] measles,outbreak [76] central,ohio [67] outbreak,central [61] more,50 [59] 50,children [55] grows,more [54] ohio,grows [52] children,driven [34] polio,measles [31] driven,'lack Top Word Pairs in Tweet in G2:
[415] immune,system [392] colds,flu [391] covid,19 [390] related,covid [390] wave,colds [390] 19,messing [390] flu,strep [390] messing,immune [390] strep,infections [390] infections,related Top Word Pairs in Tweet in G3:
[250] measles,mumps [234] hepatitis,influenza [202] influenza,measles [172] hepatitis,hepatitis [165] adenovirus,hepatitis [143] mumps,rubella [109] rubella,meningococcal [104] meningococcal,poliovirus [72] poliovirus,varicella [70] jim_jordan,adenovirus Top Word Pairs in Tweet in G4:
[105] measles,outbreak [65] unvaccinated,children [63] ohio,measles [62] babies,state [62] world,health [62] outbreak,climbs [62] organization,declared [62] 20,hospitalizations [62] hospitalizations,unvaccinated [62] 56,20 Top Word Pairs in Tweet in G5:
[208] multiple,viral [208] flu,measles [208] between,50 [208] reducing,hosp [208] messed,things [208] things,reducing [208] really,messed [208] hosp,multiple [208] including,flu [208] viral,illnesses Top Word Pairs in Tweet in G6:
[160] case,count [125] columbus,oh [125] numbers,case [125] count,outbreak [125] 59,100 [125] oh,reached [125] under,17 [125] around,columbus [125] reached,59 [125] #measles,numbers Top Word Pairs in Tweet in G7:
[101] measles,rubella [72] measles,past [72] rise,clinical [72] clinical,cases [72] past,months [72] months,moh_kenya [72] seeing,rise [72] finally,confirmed [72] cases,measles [72] moh_kenya,finally Top Word Pairs in Tweet in G8:
[183] immune,system [113] measles,nasty [113] itself,forget [113] pathogen,encountered [113] nasty,ability [113] forget,single [113] alter,immune [113] ability,alter [113] system,itself [113] single,pathogen Top Word Pairs in Tweet in G9:
[92] measles,outbreak [79] central,ohio [76] outbreak,central [72] cnn,measles [71] 50,children [70] ohio,growing [70] children,many [70] sickening,more [70] more,50 [70] needing,hospitalization Top Word Pairs in Tweet in G10:
[95] suspect,antivaccination [95] iteration,movement [95] antivaccination,covid [95] started,recent [95] movement,suspect [95] place,started [95] recent,iteration [94] kathleen_belew,place [31] right,away [31] boot,camp Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
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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:
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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 G9:
Top Tweeters in G10: