The graph represents a network of 7,162 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 Thursday, 17 February 2022 at 12:03 UTC.
The requested start date was Thursday, 17 February 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, 2-hour, 24-minute period from Sunday, 13 February 2022 at 10:02 UTC to Wednesday, 16 February 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 : 7162
Unique Edges : 4770
Edges With Duplicates : 11978
Total Edges : 16748
Number of Edge Types : 5
Retweet : 4484
MentionsInRetweet : 6113
Mentions : 2989
Replies to : 2038
Tweet : 1124
Self-Loops : 1174
Reciprocated Vertex Pair Ratio : 0.0274789522918616
Reciprocated Edge Ratio : 0.0534881074314328
Connected Components : 865
Single-Vertex Connected Components : 293
Maximum Vertices in a Connected Component : 3718
Maximum Edges in a Connected Component : 11790
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 5.878626
Graph Density : 0.000171329692728473
Modularity : 0.495917
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 7,162 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 Thursday, 17 February 2022 at 12:03 UTC.
The requested start date was Thursday, 17 February 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, 2-hour, 24-minute period from Sunday, 13 February 2022 at 10:02 UTC to Wednesday, 16 February 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:
[900] 2019,ncov [835] covid,19 [579] isolates,2019 [578] quantified,virus [578] virus,isolates [578] cdc,use [577] ncov,available [577] available,cdc [577] use,time [574] document,quantified Top Word Pairs in Tweet in G1:
[59] ah,ah [39] ils,ont [38] levyloiseau,ansm [35] _2019_ncov,levyloiseau [34] _2019_ncov,zelenskyyua [32] annette_lexa,_2019_ncov [32] ils,sont [30] ansm,exact [30] exact,j'en [30] j'en,parle Top Word Pairs in Tweet in G2:
[599] 2019,ncov [562] quantified,virus [562] virus,isolates [562] isolates,2019 [562] ncov,available [562] available,cdc [562] cdc,use [562] use,time [560] document,quantified [559] ajacquitaylor,document Top Word Pairs in Tweet in G3:
[344] covid,19 [244] right,away [223] test,positive [223] positive,covid [223] 19,risk [223] risk,becoming [223] becoming,very [223] very,sick [223] sick,contact [223] contact,health Top Word Pairs in Tweet in G4:
[126] covid,19 [37] 2019,ncov [21] learn,more [15] deux,ans [15] ncov,19 [14] sars,cov [13] chadox1,ncov [12] casos,confirmados [11] 19,vaccination [10] protect,yourself Top Word Pairs in Tweet in G5:
[265] casos,nuevos [265] casos,activos [261] fallecidos,registrados [261] activos,94 [261] 94,fallecidos [259] informe,diario [259] diario,#covid_19 [259] febrero,35 [257] 35,038 [257] 038,casos Top Word Pairs in Tweet in G6:
[6] rtheatheist,kayvonpaul [6] kayvonpaul,themelyssak [6] themelyssak,bebert701 [6] bebert701,andylumm [6] andylumm,barryjohnreid21 [6] barryjohnreid21,pawley_robert [6] pawley_robert,burgerlab12 [6] burgerlab12,markmcdougall13 [5] covid,19 [4] jsaholmes,rtheatheist Top Word Pairs in Tweet in G7:
[139] の新型コロナウイルス感染症の情報,新規感染者数 [139] 詳細データについてはこちらからご覧ください,県ホームページの更新は翌日になります [128] covid,19 [127] の広島県内の感染状況,本日の感染者はコチラ [127] information,multiple [127] multiple,languages [127] languages,covid [122] hiroshima_pref,本日 [99] 本日の感染者はコチラ,co [69] co,aynlae1ivh Top Word Pairs in Tweet in G8:
[426] 詳細は,co [420] ibaraki_kouhou,#新型コロナウイルス感染症情報 [344] 20,日 [344] 日,まで [339] うち重症者数,9名 [320] co,0iqvdzsuud [238] 0iqvdzsuud,20 [232] 本日の死亡者数,2名 [214] 9名,本日の死亡者数 [128] 2名,現在の入院者数 Top Word Pairs in Tweet in G9:
[81] masking,schools [81] schools,something [81] something,convoy [81] convoy,seems [81] seems,very [81] very,upset [81] upset,worth [81] worth,pointing [81] pointing,pho [81] pho,updated Top Word Pairs in Tweet in G10:
[115] niet,goed [113] toen,rivm [113] rivm,destijds [113] destijds,over [113] over,mexicaanse [113] mexicaanse,griep [113] griep,teveel [113] teveel,paniek [113] paniek,maakte [113] maakte,niet Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: