The graph represents a network of 8,791 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 Saturday, 17 September 2022 at 07:15 UTC.
The requested start date was Saturday, 17 September 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 2-day, 0-hour, 18-minute period from Wednesday, 14 September 2022 at 11:59 UTC to Friday, 16 September 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 : 8791
Unique Edges : 4364
Edges With Duplicates : 12606
Total Edges : 16970
Number of Edge Types : 5
Retweet : 5668
MentionsInRetweet : 6521
Tweet : 2464
Replies to : 403
Mentions : 1914
Self-Loops : 2551
Reciprocated Vertex Pair Ratio : 0.00590378093204371
Reciprocated Edge Ratio : 0.0117382617382617
Connected Components : 2193
Single-Vertex Connected Components : 898
Maximum Vertices in a Connected Component : 2392
Maximum Edges in a Connected Component : 6404
Maximum Geodesic Distance (Diameter) : 30
Average Geodesic Distance : 11.413064
Graph Density : 0.000103632722938148
Modularity : 0.519396
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 8,791 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 Saturday, 17 September 2022 at 07:15 UTC.
The requested start date was Saturday, 17 September 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 2-day, 0-hour, 18-minute period from Wednesday, 14 September 2022 at 11:59 UTC to Friday, 16 September 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:
[5671] covid,19 [421] 19,vaccine [382] contra,covid [317] 19,pandemic [262] #ad_live,2022 [259] ad_live_project,#ad_live [252] さん,パンフオフショット公開 [252] パンフオフショット公開,グッズ [207] effectiveness,covid [206] president,biden Top Word Pairs in Tweet in G1:
[875] covid,19 [83] 19,pandemic [51] 19,vaccine [29] contra,covid [27] pandemia,covid [22] during,covid [19] aged,12 [19] novavax,nuvaxovid [19] nuvaxovid,covid [14] public,health Top Word Pairs in Tweet in G2:
[885] covid,19 [198] contra,covid [162] 19,venezuela [153] vtvcanal8,#prevención [100] #prevención,control [100] control,covid [100] 19,contención [100] contención,mitigación [100] mitigación,primera [100] primera,controla Top Word Pairs in Tweet in G3:
[179] covid,19 [55] massive,global [35] 19,response [34] response,massive [34] global,failure [32] autopsy,report [32] report,covid [32] failure,thelancet [31] paimadhu,autopsy [25] 19,pandemic Top Word Pairs in Tweet in G4:
[262] #ad_live,2022 [259] ad_live_project,#ad_live [252] さん,パンフオフショット公開 [252] パンフオフショット公開,グッズ [196] 2022,9月18日 [196] 9月18日,日 [196] 日,出演 [196] 出演,#江口拓也 [196] #江口拓也,さん [196] さん,#安元洋貴 Top Word Pairs in Tweet in G5:
[201] covid,19 [200] president,biden [200] biden,lied [200] lied,american [200] american,public [200] public,effectiveness [200] effectiveness,covid [200] 19,vaccine [200] vaccine,yesterday [200] yesterday,asked Top Word Pairs in Tweet in G6:
[4] covid,19 [3] vixin757,mr_magoo5 [3] mr_magoo5,dann58638436 [3] dann58638436,djchicus [3] djchicus,goingtheretwo [3] vix666,scary7dr [3] scary7dr,homeopathy2010 [3] homeopathy2010,loveboating22 [3] loveboating22,robinh00dthe2nd [3] robinh00dthe2nd,real_seeking Top Word Pairs in Tweet in G7:
[117] covid,19 [116] relief,money [116] money,opposed [65] desantis,used [65] used,covid [65] 19,relief [65] opposed,traffic [65] traffic,50 [65] 50,venezuelans [65] venezuelans,country Top Word Pairs in Tweet in G8:
[63] covid,19 [62] 英語版朝日新聞の記事,covid [62] 19,の死者が急増する中 [62] の死者が急増する中,死体が遺体安置所に積み上げられている [62] 死体が遺体安置所に積み上げられている,8月中旬 [62] 8月中旬,東京都内の葬儀場の遺体安置所の冷蔵保管施設は [62] 東京都内の葬儀場の遺体安置所の冷蔵保管施設は,最大収容人数の9体でいっぱいになった [62] 最大収容人数の9体でいっぱいになった,死亡者の名前が書かれたボードにはすべて [61] koichi_kawakami,英語版朝日新聞の記事 [28] 高リスクな患者がcovid,19診断後 Top Word Pairs in Tweet in G9:
[116] covid,19 [23] alzheimer,disease [20] infected,covid [17] virtually,children [17] children,infected [17] 19,show [17] show,signs [17] signs,blood [17] blood,vessel [17] vessel,damage Top Word Pairs in Tweet in G10:
[96] covid,19 [75] breaking,report [73] chuckcallesto,breaking [72] report,judge [72] judge,rules [72] rules,nypd [72] nypd,fire [72] fire,officer [72] officer,alexander [72] alexander,deletto Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: