The graph represents a network of 10,313 Twitter users whose tweets in the requested range contained "COVID-19", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 07 October 2021 at 07:21 UTC.
The requested start date was Thursday, 07 October 2021 at 00:01 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, 0-hour, 4-minute period from Monday, 04 October 2021 at 12:12 UTC to Wednesday, 06 October 2021 at 12:17 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 : 10313
Unique Edges : 5212
Edges With Duplicates : 12172
Total Edges : 17384
Number of Edge Types : 5
Retweet : 5507
MentionsInRetweet : 6198
Mentions : 2004
Tweet : 3263
Replies to : 412
Self-Loops : 3311
Reciprocated Vertex Pair Ratio : 0.005526218838266
Reciprocated Edge Ratio : 0.0109916951636541
Connected Components : 3030
Single-Vertex Connected Components : 1092
Maximum Vertices in a Connected Component : 977
Maximum Edges in a Connected Component : 2054
Maximum Geodesic Distance (Diameter) : 28
Average Geodesic Distance : 8.372178
Graph Density : 7.69927641846662E-05
Modularity : 0.543555
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 10,313 Twitter users whose tweets in the requested range contained "COVID-19", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 07 October 2021 at 07:21 UTC.
The requested start date was Thursday, 07 October 2021 at 00:01 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, 0-hour, 4-minute period from Monday, 04 October 2021 at 12:12 UTC to Wednesday, 06 October 2021 at 12:17 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 : COVID-19
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:
[5996] covid,19 [464] 19,vaccine [328] contra,covid [300] soon,possible [299] #airforce_result_do,release [299] star,2021 [299] 2021,soon [298] possible,please [298] please,sir [296] sir,already Top Word Pairs in Tweet in G1:
[925] covid,19 [74] 19,vaccine [48] contra,covid [26] 19,cases [18] johnson,johnson [17] 19,pandemic [15] 19,vaccination [14] #covid,19 [13] against,covid [13] fully,vaccinated Top Word Pairs in Tweet in G2:
[192] covid,19 [135] 19,vaccination [91] uk,judge [91] judge,orders [91] orders,government [91] government,provide [91] provide,evidence [91] evidence,court [91] court,justifies [91] justifies,covid Top Word Pairs in Tweet in G3:
[295] #airforce_result_do,release [295] star,2021 [295] 2021,soon [295] soon,possible [294] possible,please [294] please,sir [292] sir,already [292] already,lost [265] release,result [265] result,star Top Word Pairs in Tweet in G4:
[152] covid,19 [61] contra,covid [45] prevención,clave [40] pueblo,venezolano [35] medidas,bioseguridad [35] recuerda,mantener [33] buenos,días [31] días,recuerda [31] mantener,distanciamiento [31] distanciamiento,social Top Word Pairs in Tweet in G5:
[152] องจากสถานการณ,covid [152] covid,19 [152] 19,ค [152] ค,ายจ [152] ายจ,งไม [152] งไม,อยากให [152] อยากให,เธอเข [152] เธอเข,าร [152] าร,วมก [152] วมก,จกรรมใดๆ' Top Word Pairs in Tweet in G6:
[37] very,strange [37] strange,wuhan [37] wuhan,started [37] started,mass [37] mass,purchasing [37] purchasing,pcr [37] pcr,tests [37] tests,equipment [37] equipment,early [37] early,2019 Top Word Pairs in Tweet in G7:
[142] covid,19 [44] oktober,2021 [19] jumlah,kes [17] sehingga,oktober [17] 2021,jumlah [17] kes,covid [17] 19,yang [17] yang,dilaporkan [17] dilaporkan,adalah [17] kes,pecahan Top Word Pairs in Tweet in G8:
[84] covid,19 [47] 19,vaccine [39] pfizer,covid [38] 90,effective [30] study,finds [28] latest,pfizer [28] vaccine,90 [28] effective,preventing [28] preventing,hospitalization [28] hospitalization,delta Top Word Pairs in Tweet in G9:
[27] espn,anchor [27] anchor,sage [27] sage,steele [27] steele,taken [27] taken,air [27] air,questioned [27] questioned,obama [27] obama,identifies [27] identifies,black [27] black,slammed Top Word Pairs in Tweet in G10:
[100] covid,19 [52] vaccinations,prevented [52] prevented,265 [52] 265,000 [52] 000,covid [52] 19,infections [52] infections,seniors [52] seniors,tens [52] tens,thousands [52] thousands,deaths Top Replied-To in Entire Graph:
Top Replied-To in G2:
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Top Replied-To in G6:
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Top Replied-To in G8:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: