The graph represents a network of 5,820 Twitter users whose tweets in the requested range contained "NCoV", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 20 May 2022 at 09:21 UTC.
The requested start date was Friday, 20 May 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, 19-hour, 13-minute period from Sunday, 15 May 2022 at 17:13 UTC to Thursday, 19 May 2022 at 12:27 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 : 5820
Unique Edges : 5663
Edges With Duplicates : 13958
Total Edges : 19621
Number of Edge Types : 5
Retweet : 4060
MentionsInRetweet : 7274
Mentions : 4729
Tweet : 779
Replies to : 2779
Self-Loops : 827
Reciprocated Vertex Pair Ratio : 0.0498304736463578
Reciprocated Edge Ratio : 0.094930514777843
Connected Components : 521
Single-Vertex Connected Components : 199
Maximum Vertices in a Connected Component : 3752
Maximum Edges in a Connected Component : 15763
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 4.9742
Graph Density : 0.000301713370526342
Modularity : 0.40791
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 5,820 Twitter users whose tweets in the requested range contained "NCoV", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 20 May 2022 at 09:21 UTC.
The requested start date was Friday, 20 May 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, 19-hour, 13-minute period from Sunday, 15 May 2022 at 17:13 UTC to Thursday, 19 May 2022 at 12:27 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 : NCoV
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:
[683] chadox1,ncov [668] ncov,19 [482] 19,vaccination [480] #astrazeneca,chadox1 [471] severe,pemphigus [471] pemphigus,vulgaris [471] vulgaris,following [470] development,severe [470] review,literature [467] following,#astrazeneca Top Word Pairs in Tweet in G1:
[182] yvespdb,_2019_ncov [167] tout,cela [164] petite,fille [163] _2019_ncov,malade [163] malade,tout [163] cela,caprice [163] caprice,petite [163] fille,nazie [163] nazie,encaissé [163] encaissé,victoire Top Word Pairs in Tweet in G2:
[96] chadox1,ncov [96] ncov,19 [89] développement,d'un [89] d'un,pemphigus [89] pemphigus,vulgaire [89] vulgaire,sévère [89] sévère,après [89] après,injection [89] injection,astrazeneca [89] astrazeneca,contre Top Word Pairs in Tweet in G3:
[499] chadox1,ncov [488] ncov,19 [454] #astrazeneca,chadox1 [442] development,severe [442] severe,pemphigus [442] pemphigus,vulgaris [442] vulgaris,following [442] following,#astrazeneca [442] review,literature [441] 19,vaccination Top Word Pairs in Tweet in G4:
[97] covid,19 [43] cdcgov,#covid19 [41] #covid19,vaccines [36] neela,infectious [36] infectious,disease [36] disease,doctor [36] doctor,mother [36] mother,shares [36] shares,chose [36] children,against Top Word Pairs in Tweet in G5:
[104] covid,19 [17] 2022,05 [16] ncov,19 [15] chadox1,ncov [12] 19,vaccine [12] scholars,portal [11] free,masks [10] 2019,ncov [10] community,level [10] 新型コロナウイルス感染症,covid Top Word Pairs in Tweet in G6:
[90] diogene_2020,_2019_ncov [89] zyrs10,diogene_2020 [89] _2019_ncov,enmodemacaron [89] enmodemacaron,el_dic_tator [89] el_dic_tator,rasekrasek [80] comment,prendre [80] prendre,gens [80] gens,imbéciles [80] imbéciles,zyrs10 [79] louan07,comment Top Word Pairs in Tweet in G7:
[127] forget,people [127] people,underlying [127] underlying,medical [127] medical,conditions [127] conditions,need [127] need,2nd [127] 2nd,booster [127] booster,list [126] socialistdogmom,forget [126] list,cond Top Word Pairs in Tweet in G8:
[9] jillkeene20,9898guitar [9] 9898guitar,claireh37444648 [5] nic21121970,gerarddelaney39 [4] firstavelad,henrywalkersmi1 [4] henrywalkersmi1,gerarddelaney39 [4] claireh37444648,nic21121970 [4] directdemocrac7,rw_christian [4] wjack76995,lockkerrup [4] lockkerrup,sammk1964 [4] sammk1964,chrisjohnsonmd Top Word Pairs in Tweet in G9:
[147] ワクチンをうって何千人の人が亡くなったなどとデマが流されています,米国cdcは [147] 米国cdcは,5億7900万回のワクチン接種が行われ [147] 5億7900万回のワクチン接種が行われ,死亡例に関係しているのは [147] 死亡例に関係しているのは,janssenの9例だったと説明しています [147] janssenの9例だったと説明しています,ワクチンは安全で [147] ワクチンは安全で,有効です [146] konotarogomame,ワクチンをうって何千人の人が亡くなったなどとデマが流されています [146] 有効です,ワクチンの利 Top Word Pairs in Tweet in G10:
[89] br7ndon,wideofthepost [88] wideofthepost,free [88] free,mask [88] mask,locator [88] locator,availability [88] availability,checked [88] checked,each [88] each,location [87] 2madma,br7ndon [17] covid,19 Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G3:
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Top Tweeters in G10: