The graph represents a network of 12,759 Twitter users whose recent tweets contained "#Hydroxychloroquine", 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 Tuesday, 28 July 2020 at 00:36 UTC.
The tweets in the network were tweeted over the 4-day, 12-hour, 37-minute period from Thursday, 23 July 2020 at 10:22 UTC to Monday, 27 July 2020 at 23:00 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 : 12759
Unique Edges : 30980
Edges With Duplicates : 6266
Total Edges : 37246
Number of Edge Types : 5
Retweet : 15677
MentionsInRetweet : 16711
Tweet : 1281
Replies to : 1371
Mentions : 2206
Self-Loops : 1390
Reciprocated Vertex Pair Ratio : 0.00177150671307807
Reciprocated Edge Ratio : 0.00353674805323737
Connected Components : 632
Single-Vertex Connected Components : 401
Maximum Vertices in a Connected Component : 11642
Maximum Edges in a Connected Component : 36049
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.422965
Graph Density : 0.000198016551512606
Modularity : 0.6253
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 12,759 Twitter users whose recent tweets contained "#Hydroxychloroquine", 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 Tuesday, 28 July 2020 at 00:36 UTC.
The tweets in the network were tweeted over the 4-day, 12-hour, 37-minute period from Thursday, 23 July 2020 at 10:22 UTC to Monday, 27 July 2020 at 23:00 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 : #Hydroxychloroquine
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 : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[2832] #chloroquine,#hydroxychloroquine [2230] #hydroxychloroquine,#raoult [1979] covid,19 [1388] #coronavirus,#covid_19 [1382] over,counter [1351] #hydroxychloroquine,available [1344] make,#hydroxychloroquine [1341] available,over [1340] #véran,#coronavirus [1329] realdonaldtrump,whitehouse Top Word Pairs in Tweet in G1:
[2740] #chloroquine,#hydroxychloroquine [2176] #hydroxychloroquine,#raoult [1372] #coronavirus,#covid_19 [1332] #véran,#coronavirus [1194] #raoult,#véran [862] 24,juillet [794] france,soir [771] soir,#chloroquine [753] france,24 [717] efficacité,hydroxychloroquine Top Word Pairs in Tweet in G2:
[718] covid,19 [693] 100,000 [673] yale,epidemiology [673] epidemiology,professor [670] 000,lives [667] #hydroxychloroquine,save [666] save,100 [661] lives,used [654] professor,#foxnews [643] used,covid Top Word Pairs in Tweet in G3:
[1253] over,counter [1253] realdonaldtrump,whitehouse [1253] whitehouse,jennaellisesq [1253] jennaellisesq,danscavino [1253] danscavino,dbongino [1253] dbongino,genflynn [1251] make,#hydroxychloroquine [1250] #hydroxychloroquine,available [1249] available,over [1246] counter,prevent Top Word Pairs in Tweet in G4:
[108] covid,19 [86] mise,jour [86] jour,synthèse [86] synthèse,études [86] détails,ici [85] études,d'intervention [85] d'intervention,l'#hydroxychloroquine [85] l'#hydroxychloroquine,voit [85] voit,tendance [85] tendance,dégager Top Word Pairs in Tweet in G5:
[502] #hydroxychloroquine,work [487] someone,needs [487] needs,show [487] show,video [487] video,#drfraudfauci [487] #drfraudfauci,still [487] still,apologized [487] apologized,saying [487] saying,#hydroxychloroquine [22] covid,19 Top Word Pairs in Tweet in G6:
[372] covid,19 [359] fighting,treatment [359] treatment,data [358] prof,epidemiology [358] epidemiology,authored [358] authored,over [358] over,300 [358] 300,peer [358] peer,reviewed [358] reviewed,papers Top Word Pairs in Tweet in G7:
[202] #breaking,#breakingnews [182] sink,fauci [182] fauci,approved [182] approved,#hydroxychloroquine [182] #hydroxychloroquine,15 [182] 15,years [182] years,ago [182] ago,cure [182] cure,coronaviruses [128] using,#hydroxychloroquine Top Word Pairs in Tweet in G8:
[38] covid,19 [19] key,defeating [17] #covid19,#hydroxychloroquine [16] 100,000 [16] #covid,19 [14] 000,lives [13] #coronavirus,#covid19 [13] defeating,covid [13] #follow,#hydroxychloroquine [12] yale,epidemiologist Top Word Pairs in Tweet in G9:
[258] great,news [258] news,#brazil [258] #brazil,few [258] few,weeks [258] weeks,#hydroxychloroquine [258] #hydroxychloroquine,president [258] president,#bolsonaro [258] #bolsonaro,today [258] today,tested [258] tested,negative Top Word Pairs in Tweet in G10:
[250] jornada,foi [250] foi,muito [250] muito,produtiva [250] produtiva,até [250] até,receitei [250] receitei,#hydroxychloroquine [250] #hydroxychloroquine,indivíduo [250] indivíduo,fala [250] fala,bozo [250] bozo,deus 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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