The graph represents a network of 8,468 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, 04 October 2022 at 07:12 UTC.
The requested start date was Tuesday, 04 October 2022 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 3-day, 0-hour, 15-minute period from Friday, 30 September 2022 at 12:02 UTC to Monday, 03 October 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 : 8468
Unique Edges : 3901
Edges With Duplicates : 12730
Total Edges : 16631
Number of Edge Types : 5
Retweet : 5880
MentionsInRetweet : 6707
Tweet : 2195
Mentions : 1356
Replies to : 493
Self-Loops : 2261
Reciprocated Vertex Pair Ratio : 0.0035691523263225
Reciprocated Edge Ratio : 0.00711291756636606
Connected Components : 1969
Single-Vertex Connected Components : 740
Maximum Vertices in a Connected Component : 2270
Maximum Edges in a Connected Component : 6199
Maximum Geodesic Distance (Diameter) : 32
Average Geodesic Distance : 13.580014
Graph Density : 0.00010980695343432
Modularity : 0.516278
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 8,468 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, 04 October 2022 at 07:12 UTC.
The requested start date was Tuesday, 04 October 2022 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 3-day, 0-hour, 15-minute period from Friday, 30 September 2022 at 12:02 UTC to Monday, 03 October 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:
[5249] covid,19 [331] 19,pandemic [290] during,covid [273] contra,covid [272] 30,millions [270] millions,doses [263] doses,vaccins [247] vtvcanal8,#prevención [201] loved,ones [194] met,families Top Word Pairs in Tweet in G1:
[710] covid,19 [28] 19,pandemic [26] contra,covid [18] 19,vaccine [18] pandemia,covid [16] casos,covid [13] 24,horas [12] during,covid [12] oktober,2022 [11] nuevos,casos Top Word Pairs in Tweet in G2:
[531] covid,19 [230] vtvcanal8,#prevención [136] contra,covid [130] métodos,preventivos [130] preventivos,efectivos [128] uso,adecuado [128] adecuado,mascarilla [128] mascarilla,indica [128] indica,métodos [123] efectivos,evitar Top Word Pairs in Tweet in G3:
[203] 30,millions [203] millions,doses [203] doses,vaccins [102] devoir,détruire [101] devoir,jeter [101] jeter,près [101] près,30 [101] vaccins,19 [101] 19,50 [101] 50,dose Top Word Pairs in Tweet in G4:
[186] covid,19 [53] millions,doses [52] 30,millions [52] doses,vaccins [49] 19,france [49] france,devoir [49] devoir,détruire [49] détruire,ses [49] ses,30 [49] vaccins,gt Top Word Pairs in Tweet in G5:
[193] covid,19 [191] rahulgandhi,met [191] during,covid [191] 19,pandemic [190] shri,rahulgandhi [190] met,families [190] families,lost [190] lost,loved [190] loved,ones [190] ones,due Top Word Pairs in Tweet in G6:
[127] covid,19 [125] horse,dewormer [124] georgia,cop [124] cop,pushed [124] pushed,people [124] people,take [124] take,horse [124] dewormer,instead [124] instead,vaccine [124] vaccine,dies Top Word Pairs in Tweet in G7:
[54] covid,19 [46] 超重要,アメリカdarpa [46] アメリカdarpa,国防高等研究計画局 [46] 国防高等研究計画局,から漏れた軍事機密文書 [46] から漏れた軍事機密文書,イベルメクチン [46] イベルメクチン,2020年4月に治療薬として特定された [46] 2020年4月に治療薬として特定された,は [46] は,ウイルス複製を阻害し [46] ウイルス複製を阻害し,免疫応答を調節するため [46] 免疫応答を調節するため,病気のすべての段階で機能します Top Word Pairs in Tweet in G8:
[42] covid,19 [37] すげえ,ワクチン専門雑誌 [37] ワクチン専門雑誌,vaccines [37] vaccines,が [37] が,新型コロナワクチンの有害事象の特集号を出している [37] 新型コロナワクチンの有害事象の特集号を出している,すげえ [37] すげえ,ここまで来たか [37] ここまで来たか,adverse [37] adverse,events [37] events,covid Top Word Pairs in Tweet in G9:
[183] hoje,dia [183] dia,votar [182] votar,contra [91] contra,descaso [91] descaso,pandemia [91] pandemia,hoje [91] contra,tentativa [91] tentativa,imunidade [90] desmentindobozo,hoje [22] pra,ele Top Word Pairs in Tweet in G10:
[82] covid,19 [48] votamos,contra [48] contra,aquele [43] bolsonaro,recusou [43] recusou,compra [43] compra,vacinas [43] vacinas,brasil [43] brasil,pra [43] pra,primeiros [43] primeiros,países Top Replied-To in Entire Graph:
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Top Replied-To in G6:
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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: