The graph represents a network of 9,375 Twitter users whose tweets in the requested range contained "public health", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 12 March 2022 at 12:38 UTC.
The requested start date was Saturday, 12 March 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, 1-hour, 39-minute period from Wednesday, 09 March 2022 at 09:28 UTC to Friday, 11 March 2022 at 11:07 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 : 9375
Unique Edges : 4520
Edges With Duplicates : 12319
Total Edges : 16839
Number of Edge Types : 5
Retweet : 5798
MentionsInRetweet : 6832
Tweet : 1427
Replies to : 735
Mentions : 2047
Self-Loops : 1460
Reciprocated Vertex Pair Ratio : 0.0109938434476693
Reciprocated Edge Ratio : 0.0217485863418878
Connected Components : 1621
Single-Vertex Connected Components : 501
Maximum Vertices in a Connected Component : 3101
Maximum Edges in a Connected Component : 6833
Maximum Geodesic Distance (Diameter) : 34
Average Geodesic Distance : 11.14615
Graph Density : 0.000104641206173103
Modularity : 0.56685
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 9,375 Twitter users whose tweets in the requested range contained "public health", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 12 March 2022 at 12:38 UTC.
The requested start date was Saturday, 12 March 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, 1-hour, 39-minute period from Wednesday, 09 March 2022 at 09:28 UTC to Friday, 11 March 2022 at 11:07 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 : public health
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:
[3851] public,health [808] health,cs [798] mutahi,kagwe [790] public,places [768] cs,mutahi [624] kagwe,lifts [530] lifts,wearing [526] open,public [520] wearing,facemasks [515] person,worship Top Word Pairs in Tweet in G1:
[640] health,cs [638] mutahi,kagwe [624] cs,mutahi [622] public,places [568] kagwe,lifts [493] lifts,wearing [481] open,public [478] person,worship [476] full,person [476] worship,vaccinated Top Word Pairs in Tweet in G2:
[350] public,health [70] mutahi,kagwe [69] covid,19 [69] health,cs [65] public,places [61] cs,mutahi [40] masks,public [35] wearing,facemasks [35] kagwe,lifts [33] face,masks Top Word Pairs in Tweet in G3:
[143] omicron,variant [134] nsw,health [134] health,minister [120] minister,concerned [120] concerned,public [120] public,switched [120] switched,covid [120] covid,threat [120] threat,omicron [119] eddyjokovich,nsw Top Word Pairs in Tweet in G4:
[157] public,health [63] flu,pandemic [60] proved,more [60] more,deadly [60] deadly,government [60] government,policy [60] policy,toward [60] toward,truth [60] truth,john [60] john,berry Top Word Pairs in Tweet in G5:
[131] public,health [121] health,authorities [121] authorities,focused [121] focused,exclusively [121] exclusively,during [121] during,pandemic [121] pandemic,measures [121] measures,demanded [121] demanded,control [121] control,submission Top Word Pairs in Tweet in G6:
[191] saw,uncle [191] uncle,without [191] without,face [191] face,mask [191] mask,mamak [191] mamak,looked [191] looked,bit [191] bit,lost [191] lost,first [191] first,upset Top Word Pairs in Tweet in G7:
[94] law,assistance [94] refugees,refugees [94] refugees,right [94] right,use [94] use,public [94] public,services [92] services,healt [84] public,health [83] #polish,sejm [83] sejm,approves Top Word Pairs in Tweet in G8:
[134] public,health [75] health,measures [47] please,stop [47] stop,removing [47] removing,public [46] profesterman,please [37] fact,children [37] children,vaccinated [37] vaccinated,against [37] against,multiple Top Word Pairs in Tweet in G9:
[116] today,helped [116] helped,pick [116] pick,funeral [116] funeral,flowers [116] flowers,40 [116] 40,year [116] year,old [116] old,family [116] family,member [116] member,vaxxed Top Word Pairs in Tweet in G10:
[170] ateneo,school [168] medicine,public [168] public,health [167] ateneo,professional [167] professional,schools [167] schools,ateneo [167] school,medicine [167] health,ateneo [167] ateneo,graduate [167] graduate,school 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: