The graph represents a network of 11,683 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 Wednesday, 05 August 2020 at 07:22 UTC.
The requested start date was Wednesday, 05 August 2020 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, 1-minute period from Sunday, 02 August 2020 at 12:23 UTC to Tuesday, 04 August 2020 at 12:25 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 : 11683
Unique Edges : 6816
Edges With Duplicates : 12135
Total Edges : 18951
Number of Edge Types : 5
Retweet : 5602
MentionsInRetweet : 6660
Tweet : 3568
Replies to : 566
Mentions : 2555
Self-Loops : 3627
Reciprocated Vertex Pair Ratio : 0.00498779581874138
Reciprocated Edge Ratio : 0.00992608236536431
Connected Components : 3572
Single-Vertex Connected Components : 1069
Maximum Vertices in a Connected Component : 1580
Maximum Edges in a Connected Component : 3517
Maximum Geodesic Distance (Diameter) : 29
Average Geodesic Distance : 10.397668
Graph Density : 6.9387046263487E-05
Modularity : 0.575542
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 11,683 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 Wednesday, 05 August 2020 at 07:22 UTC.
The requested start date was Wednesday, 05 August 2020 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, 1-minute period from Sunday, 02 August 2020 at 12:23 UTC to Tuesday, 04 August 2020 at 12:25 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:
[6624] covid,19 [320] contra,covid [201] positive,covid [159] tested,positive [154] 19,pandemic [151] 19,cases [147] 19,deaths [120] casos,covid [111] #covid,19 [97] during,covid Top Word Pairs in Tweet in G1:
[800] covid,19 [27] positive,covid [27] 19,pandemic [25] 19,cases [23] during,covid [17] #covid,19 [17] amit,shah [17] contra,covid [14] tested,positive [13] due,covid Top Word Pairs in Tweet in G2:
[185] covid,19 [46] home,minister [30] क,र [29] cancel,compartment [26] amit,shah [25] compartment,exam [24] positive,covid [24] र,न [24] union,home [23] स,क Top Word Pairs in Tweet in G3:
[271] covid,19 [82] contra,covid [35] casos,covid [22] #covid,19 [21] vicepresidente,comunicación [20] pdte,nicolasmaduro [20] últimas,24 [20] 24,horas [19] nuevos,casos [18] transmisión,comunitaria Top Word Pairs in Tweet in G4:
[135] covid,19 [9] china,virus [9] mail,votes [8] president,trump [8] people,happy [8] national,testing [8] eugenegu,realdonaldtrump [8] calling,covid [8] 19,china [7] jared,kushner Top Word Pairs in Tweet in G5:
[111] covid,19 [20] dr,fauci [13] nursing,home [13] one,person [13] person,dying [13] dying,covid [13] 19,seven [13] seven,minutes [13] minutes,iran [13] iran,state Top Word Pairs in Tweet in G6:
[55] covid,19 [28] tamara_suju,#venezuela [22] #venezuela,alerta [22] alerta,semana [22] semana,pasada [22] pasada,#sebin [22] #sebin,#helicoide [22] #helicoide,presos [22] presos,funcionarios [22] funcionarios,sintomatología Top Word Pairs in Tweet in G7:
[32] covid,19 [12] tested,positive [12] positive,covid [10] georgia's,largest [10] largest,school [10] school,district [10] district,confirmed [10] confirmed,around [10] around,260 [10] 260,employees Top Word Pairs in Tweet in G8:
[55] covid,19 [18] 19,deaths [16] presidency,summed [16] summed,country [16] country,hit [16] hit,154 [16] 154,000 [16] 000,covid [16] deaths,jobless [16] jobless,rate Top Word Pairs in Tweet in G9:
[63] covid,19 [19] treat,covid [18] asked,whether [18] whether,hcq [18] hcq,prescribed [18] prescribed,treat [18] 19,fda [18] fda,commissioner [18] commissioner,stephen [18] stephen,hahn Top Word Pairs in Tweet in G10:
[34] これはもちろん直接covid,19に関係ある話ではないのですが [34] 19に関係ある話ではないのですが,ヨード系のうがい薬 [34] ヨード系のうがい薬,イソジン [34] イソジン,は水うがいに比べて風邪への予防効果が劣り [34] は水うがいに比べて風邪への予防効果が劣り,うがいしないのとほぼ同じ [34] うがいしないのとほぼ同じ,というrctが京都大学から報告されているのは [33] 残念ながらブラジルから,covid [33] covid,19子宮内感染による胎児死亡5例の報告がありました [33] 19子宮内感染による胎児死亡5例の報告がありました,妊娠21 [33] 妊娠21,38週で全例胎盤に強い炎症とウイルスrnaも見られました 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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