The graph represents a network of 18,392 Twitter users whose recent tweets contained "#PublicHealth OR "Public Health" (COVID19 OR COVID_19 OR COVID OR COVIDー19 OR "corona virus" OR coronavirus OR SARSCOV2)", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Saturday, 06 June 2020 at 19:30 UTC.
The tweets in the network were tweeted over the 18-hour, 54-minute period from Friday, 05 June 2020 at 23:55 UTC to Saturday, 06 June 2020 at 18:50 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 : 18392
Unique Edges : 24505
Edges With Duplicates : 1408
Total Edges : 25913
Self-Loops : 1879
Reciprocated Vertex Pair Ratio : 0.00376341786768165
Reciprocated Edge Ratio : 0.00749861531251331
Connected Components : 1700
Single-Vertex Connected Components : 751
Maximum Vertices in a Connected Component : 13587
Maximum Edges in a Connected Component : 20260
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 6.377025
Graph Density : 6.93900644378294E-05
Modularity : 0.882791
NodeXL Version : 1.0.1.433
Data Import : The graph represents a network of 18,392 Twitter users whose recent tweets contained "#PublicHealth OR "Public Health" (COVID19 OR COVID_19 OR COVID OR COVIDー19 OR "corona virus" OR coronavirus OR SARSCOV2)", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Saturday, 06 June 2020 at 19:30 UTC.
The tweets in the network were tweeted over the 18-hour, 54-minute period from Friday, 05 June 2020 at 23:55 UTC to Saturday, 06 June 2020 at 18:50 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 : TwitterSearch
Graph Term : #PublicHealth OR "Public Health" (COVID19 OR COVID_19 OR COVID OR COVIDー19 OR "corona virus" OR coronavirus OR SARSCOV2)
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 : Followers
Vertex Alpha : Followers
Top Domains
Top Word Pairs in Tweet in G2:
[2484] public,health [1146] health,experts [1032] covid,19 [818] experts,signed [817] white,supremacy [813] lethal,public [811] health,issue [811] encouraging,gatherings [811] wow,1 [811] 1,200 Top Word Pairs in Tweet in G3:
[819] public,health [769] covid,19 [769] health,experts [676] health,alert [676] white,supremacy [676] mass,gatherings [676] health,officials [676] health,crisis [675] experts,sign [675] sign,letter Top Word Pairs in Tweet in G4:
[613] public,health [292] covid,19 [79] doctors,insisted [36] insisted,everyone [34] everyone,become [33] become,hermits [31] hermits,during [31] during,covid [30] 19,3 [30] 3,months Top Word Pairs in Tweet in G5:
[764] further,risk [735] risk,getting [725] getting,#covid19 [725] #covid19,gathering [725] gathering,close [725] close,others [725] others,risk [725] risk,african [725] african,american [725] american,man Top Word Pairs in Tweet in G6:
[616] public,health [616] letter,drafted [616] drafted,infectious [616] infectious,disease [616] disease,experts [616] experts,university [616] university,washington [616] washington,integral [616] integral,studying [616] studying,coronavirus Top Word Pairs in Tweet in G7:
[614] public,health [291] masks,replacement [291] replacement,physical [291] physical,distancing [291] distancing,hand [291] hand,hygiene [291] hygiene,public [291] health,measures [291] benefit,part [291] part,comprehensive Top Word Pairs in Tweet in G8:
[577] public,health [434] private,property [434] property,want [434] want,reparations [433] reparations,law [433] law,order [433] order,re [433] re,apologizing [433] apologizing,looting [433] looting,public Top Word Pairs in Tweet in G9:
[581] public,health [486] health,experts [486] thread,long [486] long,winded [486] winded,throat [486] throat,clearing [486] clearing,around [486] around,double [486] double,standards [486] standards,public Top Word Pairs in Tweet in G10:
[506] public,health [189] covid,19 [110] health,orders [110] #breaking,nsw [110] nsw,court [110] court,appeal [110] appeal,overturned [110] overturned,yesterday's [110] yesterday's,supreme [110] supreme,court Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G9:
Top Tweeters in G10: