The graph represents a network of 8,696 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 Tuesday, 20 December 2022 at 08:13 UTC.
The requested start date was Tuesday, 20 December 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 3-day, 0-hour, 21-minute period from Friday, 16 December 2022 at 11:56 UTC to Monday, 19 December 2022 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 : 8696
Unique Edges : 4079
Edges With Duplicates : 12654
Total Edges : 16733
Number of Edge Types : 5
Retweet : 5807
MentionsInRetweet : 6612
Tweet : 2359
Replies to : 500
Mentions : 1455
Self-Loops : 2412
Reciprocated Vertex Pair Ratio : 0.00446257809511666
Reciprocated Edge Ratio : 0.00888550393500889
Connected Components : 2012
Single-Vertex Connected Components : 831
Maximum Vertices in a Connected Component : 3233
Maximum Edges in a Connected Component : 7434
Maximum Geodesic Distance (Diameter) : 28
Average Geodesic Distance : 7.534755
Graph Density : 0.000104190196969465
Modularity : 0.513382
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 8,696 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 Tuesday, 20 December 2022 at 08:13 UTC.
The requested start date was Tuesday, 20 December 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 3-day, 0-hour, 21-minute period from Friday, 16 December 2022 at 11:56 UTC to Monday, 19 December 2022 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:
[5761] covid,19 [815] linked,blood [815] vaccine,linked [814] blood,clotting [775] 19,vaccine [570] pfizer,covid [408] contra,covid [341] fda,pfizer [335] breaking,report [335] report,fda Top Word Pairs in Tweet in G1:
[710] covid,19 [35] 19,pandemic [26] contra,covid [25] 19,vaccines [22] 19,vaccine [20] requested,data [20] china,share [20] share,requested [16] 24,horas [16] 19,booster Top Word Pairs in Tweet in G2:
[446] covid,19 [159] vacunas,sé [159] 19,mejor [159] mejor,combinación [159] combate,covid [159] combinación,mascarilla [159] sé,consciente [159] consciente,cuídate [159] mascarilla,vacunas [152] #prevención,combate Top Word Pairs in Tweet in G3:
[308] covid,19 [295] 19,vaccine [290] vaccine,linked [290] blood,clotting [290] linked,blood [290] pfizer,covid [289] fda,pfizer [286] breaking,report [286] report,fda [285] chuckcallesto,breaking Top Word Pairs in Tweet in G4:
[263] covid,19 [251] linked,blood [251] vaccine,linked [251] blood,clotting [244] clotting,right [244] admitted,covid [244] experimental,vaccine [244] breaking,fda [244] 19,experimental [244] fda,admitted Top Word Pairs in Tweet in G5:
[120] covid,19 [66] 19,vaccine [53] suggests,3x [53] evidence,suggests [53] natural,immunity [53] people,natural [53] immunity,take [53] vaccine,evidence [53] telling,people [53] criminal,telling Top Word Pairs in Tweet in G6:
[124] covid,19 [61] 19,vaccine [55] media,trying [55] breaking,media [55] affairs,health [55] trying,hide [55] exton,director [55] parliamentary,affairs [55] hide,adam [55] adam,exton Top Word Pairs in Tweet in G7:
[223] covid,19 [116] vacina,covid [116] 19,pfizer [116] coagulação,sanguínea [67] em,indivíduos [67] depois,fda [67] fda,afirma [67] contra,covid [67] indivíduos,mais [67] anos,depois Top Word Pairs in Tweet in G8:
[205] covid,19 [118] 19,vaccine [108] blood,clotting [108] vaccine,linked [108] linked,blood [106] pfizer,covid [101] clotting,fda [98] rwmalonemd,pfizer [36] york,times [34] times,falsely Top Word Pairs in Tweet in G9:
[92] covid,19 [25] ont,toujours [25] interféré,recherches [25] malgré,efficacité [25] toujours,interféré [25] officielles,ont [25] efficacité,covid [25] covid,autorités [25] autorités,officielles [24] eye,disorders Top Word Pairs in Tweet in G10:
[69] covid,19 [61] big,tech [61] drjbhattacharya,uncovered [61] proof,big [61] blacklisting,drjbhattacharya [61] files,proof [61] twitter,blacklisting [61] uncovered,twitter [61] twitter,files [60] govrondesantis,twitter Top Replied-To in Entire Graph:
Top Replied-To in G2:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: