The graph represents a network of 14,133 Twitter users whose recent tweets contained "#COVID19", 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 Friday, 14 February 2020 at 18:57 UTC.
The tweets in the network were tweeted over the 4-hour, 27-minute period from Friday, 14 February 2020 at 13:50 UTC to Friday, 14 February 2020 at 18:18 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 : 14133
Unique Edges : 17133
Edges With Duplicates : 6280
Total Edges : 23413
Number of Edge Types : 5
Retweet : 12761
Tweet : 3192
MentionsInRetweet : 4471
Mentions : 2009
Replies to : 980
Self-Loops : 3285
Reciprocated Vertex Pair Ratio : 0.00237145005494823
Reciprocated Edge Ratio : 0.00473167916907098
Connected Components : 1099
Single-Vertex Connected Components : 560
Maximum Vertices in a Connected Component : 11774
Maximum Edges in a Connected Component : 20681
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 5.432258
Graph Density : 8.67681973738266E-05
Modularity : 0.683746
NodeXL Version : 1.0.1.423
Data Import : The graph represents a network of 14,133 Twitter users whose recent tweets contained "#COVID19", 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 Friday, 14 February 2020 at 18:57 UTC.
The tweets in the network were tweeted over the 4-hour, 27-minute period from Friday, 14 February 2020 at 13:50 UTC to Friday, 14 February 2020 at 18:18 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 : #COVID19
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:
[2139] #coronavirus,#covid19 [1342] 14,02 [1315] ต,ดเช [1212] #covid19,14 [1200] 02,2563 [1039] #covid19,#coronavirus [1028] อ,ปเดต [1026] ปเดต,#covid19 [951] hong,kong [831] #coronavirus,#coronavirusoutbreak Top Word Pairs in Tweet in G1:
[286] #covid19,drtedros [284] media,briefing [284] briefing,#covid19 [283] daily,media [283] drtedros,#coronavirus [195] clinically,diagnosed [179] drtedros,presidence_rdc [168] #covid19,cases [166] drtedros,#drc [159] prevent,spread Top Word Pairs in Tweet in G2:
[1173] #covid19,14 [1170] 02,2563 [1146] 14,02 [1003] อ,ปเดต [1001] ปเดต,#covid19 [615] ต,ดเช [585] หว,น [503] 2563,17 [503] 17,00 [503] 00,ทางการไต Top Word Pairs in Tweet in G3:
[577] #coronavirus,#coronavirusoutbreak [448] #coronavirusoutbreak,#wuhan [443] #coronavirusaustralia,#coronaviruscanada [363] #wuhan,#covid19 [340] #covid19,#coronavirusaustralia [203] #coronavirus,#covid19 [170] families,lights [160] #covid19,#coronavirus [122] 20,#coronavirus [120] people,line Top Word Pairs in Tweet in G4:
[155] #coronavirus,#covid19 [138] donates,plasma [113] plasma,cured [111] confirmed,cases [109] recovered,#covid19 [101] fight,against [99] video,shows [99] shows,patient [99] patient,recovered [99] #covid19,donates Top Word Pairs in Tweet in G5:
[841] hong,kong [407] viral,alarm [405] alarm,#covid19 [399] particular,profound [399] profound,concern [399] concern,massive [399] massive,miscalculations [399] miscalculations,made [399] made,first [399] first,regarding Top Word Pairs in Tweet in G6:
[485] hari,ini [484] telah,sembuh [484] dan,discaj [478] pesakit,#covid19 [468] 14,feb [468] dan,kes [466] sg,buloh [455] ini,14 [440] lagi,pesakit [440] #covid19,yang Top Word Pairs in Tweet in G7:
[169] #sarscov2,#covid19 [126] medical,workers [114] weeks,ago [113] infected,medical [113] #coronavirus,#covid19 [112] 1700,infected [112] workers,extremely [112] extremely,frustrating [112] frustrating,few [112] few,weeks Top Word Pairs in Tweet in G8:
[99] #coronavirus,#covid19 [43] #covid19,#coronavirus [34] covid,19 [27] #2019ncov,#covid19 [18] #coronavirus,#coronaoutbreak [18] #virus,#coronavirusoutbreak [17] #ad,#coronavirus [17] #coronaoutbreak,#wuhanflu [17] #wuhanflu,#chinaflu [17] #chinaflu,#flu Top Word Pairs in Tweet in G9:
[171] casos,confirmados [156] casos,sospechosos [155] confirmados,10 [152] 14,02 [151] 02,2020 [150] 63,946 [149] 10,109 [146] #covid19,informe [146] informe,#coronavirus [146] #coronavirus,14 Top Word Pairs in Tweet in G10:
[127] cas,#coronavirus [112] #coronavirus,#covid19 [111] premier,cas [107] patients,infectés [99] épidémie,#coronavirus [92] par,#covid19 [91] par,#coronavirus [88] participants,ont [87] infectés,par [80] flash,info 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 G10: