The graph represents a network of 9,589 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, 15 January 2022 at 12:42 UTC.
The requested start date was Saturday, 15 January 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, 5-minute period from Wednesday, 12 January 2022 at 10:02 UTC to Friday, 14 January 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 : 9589
Unique Edges : 5041
Edges With Duplicates : 12299
Total Edges : 17340
Number of Edge Types : 5
Tweet : 1508
Retweet : 5896
MentionsInRetweet : 7173
Replies to : 909
Mentions : 1854
Self-Loops : 1532
Reciprocated Vertex Pair Ratio : 0.00549735504615704
Reciprocated Edge Ratio : 0.0109345987208583
Connected Components : 1684
Single-Vertex Connected Components : 453
Maximum Vertices in a Connected Component : 4182
Maximum Edges in a Connected Component : 9390
Maximum Geodesic Distance (Diameter) : 27
Average Geodesic Distance : 8.594137
Graph Density : 0.000105439095424361
Modularity : 0.577648
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 9,589 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, 15 January 2022 at 12:42 UTC.
The requested start date was Saturday, 15 January 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, 5-minute period from Wednesday, 12 January 2022 at 10:02 UTC to Friday, 14 January 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:
[4579] public,health [707] grounds,public [539] good,order [534] health,good [486] public,interest [421] djokovic,visa [412] visa,cancelled [359] interest,relating [359] relating,health [358] covid,cases Top Word Pairs in Tweet in G1:
[231] public,health [129] singing,dancing [87] nsw,public [87] health,omni [87] omni,shambles [87] shambles,double [87] double,hit [87] hit,morrison [87] morrison,perrottet [87] perrottet,policies Top Word Pairs in Tweet in G2:
[341] public,health [43] covid,19 [15] public,interest [14] mental,health [14] health,good [14] good,order [13] order,grounds [13] grounds,basis [13] basis,public [11] health,care Top Word Pairs in Tweet in G3:
[315] public,interest [310] good,order [296] health,good [295] interest,relating [295] relating,health [294] djokovic,visa [294] visa,cancelled [294] cancelled,grounds [294] grounds,public [294] order,covid Top Word Pairs in Tweet in G4:
[343] grounds,public [330] public,health [322] australia,really [322] really,banana [322] banana,republic [322] republic,djokovic [322] djokovic,deported [322] deported,grounds [322] health,unvaccinated [321] nigel_farage,australia Top Word Pairs in Tweet in G5:
[137] public,health [40] immigration,minister [36] public,interest [31] visa,cancelled [28] health,good [28] breaking,novak [28] novak,djokovic's [28] cancelled,second [28] second,time [27] threat,public Top Word Pairs in Tweet in G6:
[115] public,health [93] rapid,antigen [88] antigen,test [85] literally,easier [85] easier,buy [85] buy,illicit [85] illicit,drugs [85] drugs,rapid [85] test,sydney [85] sydney,still Top Word Pairs in Tweet in G7:
[149] public,health [122] chemical,cocktail [115] sewage,slurry [115] slurry,plastic [114] english,rivers [113] cocktail,sewage [113] plastic,polluting [113] polluting,english [113] rivers,putting [113] putting,public Top Word Pairs in Tweet in G8:
[83] public,health [14] cervical,cancer [14] cancer,kills [14] kills,more [14] more,women [14] women,cancer [14] cancer,african [14] african,region [14] region,2030 [14] 2030,goals Top Word Pairs in Tweet in G9:
[47] public,health [44] good,exposition [44] exposition,defenestration [44] defenestration,maajidnawaz [44] maajidnawaz,thebembridge [44] thebembridge,entered [44] entered,dangerous [44] dangerous,times [44] times,journalist [43] francis_hoar,good Top Word Pairs in Tweet in G10:
[41] djokovic,great [41] great,tennis [41] tennis,player [41] player,selfish [41] selfish,narcissistic [41] narcissistic,liar [41] liar,terrible [41] terrible,role [41] role,model [41] model,danger Top Replied-To in Entire Graph:
Top Replied-To in G1:
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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:
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Top Mentioned in G6:
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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: