The graph represents a network of 8,313 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, 27 December 2022 at 08:16 UTC.
The requested start date was Tuesday, 27 December 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, 0-hour, 17-minute period from Friday, 23 December 2022 at 12:00 UTC to Monday, 26 December 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 : 8313
Unique Edges : 3968
Edges With Duplicates : 12307
Total Edges : 16275
Number of Edge Types : 5
Replies to : 447
Mentions : 1423
Tweet : 2601
Retweet : 5609
MentionsInRetweet : 6195
Self-Loops : 2703
Reciprocated Vertex Pair Ratio : 0.00353260869565217
Reciprocated Edge Ratio : 0.00704034660167885
Connected Components : 2163
Single-Vertex Connected Components : 957
Maximum Vertices in a Connected Component : 2489
Maximum Edges in a Connected Component : 5948
Maximum Geodesic Distance (Diameter) : 38
Average Geodesic Distance : 12.831393
Graph Density : 0.000106892193274979
Modularity : 0.507188
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 8,313 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, 27 December 2022 at 08:16 UTC.
The requested start date was Tuesday, 27 December 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, 0-hour, 17-minute period from Friday, 23 December 2022 at 12:00 UTC to Monday, 26 December 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:
[5824] covid,19 [487] 19,pandemic [418] 19,vaccine [375] effects,covid [369] many,families [369] fully,recover [368] families,fully [368] tigray,many [368] recover,devastating [368] devastating,effects Top Word Pairs in Tweet in G1:
[893] covid,19 [77] 250,million [69] 20,days [47] 19,infections [42] million,covid [40] infections,china [40] nearly,250 [40] leaked,doc [40] days,leaked [40] china,20 Top Word Pairs in Tweet in G2:
[437] covid,19 [145] vtvcanal8,#jornadadevacunación [119] combate,covid [119] mascarilla,vacunas [119] consciente,cuídate [119] combinación,mascarilla [119] mejor,combinación [119] vacunas,sé [119] sé,consciente [119] 19,mejor Top Word Pairs in Tweet in G3:
[123] covid,19 [33] 19,testing [29] health,ministers [29] meeting,review [27] state,health [26] need,panic [24] various,airports [24] review,meeting [24] 19,review [24] meeting,state Top Word Pairs in Tweet in G4:
[180] covid,19 [150] origin,covid [148] sharing,documents [148] documents,more [148] renztom,sharing [148] read,thanks [148] thanks,renztom [148] 19,read [148] doubts,origin [148] case,still Top Word Pairs in Tweet in G5:
[372] covid,19 [370] 19,pandemic [368] recover,devastating [368] families,fully [368] fully,recover [368] devastating,effects [368] tigray,many [368] many,families [368] effects,covid [352] pandemic,top Top Word Pairs in Tweet in G6:
[180] covid,19 [179] 19,vaccine [178] government,believe [178] appealing,public [178] public,dob [178] police,appealing [178] neighbours,anti [178] dob,neighbours [178] queensland,police [178] believe,covid Top Word Pairs in Tweet in G7:
[92] 米国,欧州 [92] 来る,鼻から [92] 日本に100,来る [92] 鼻から,mrna [84] c19経鼻ワクチン,米国 [84] 遺伝子治療の米バイオテクノロジー企業ocugen,inc [84] 商業化のライセンスを,遺伝子治療の米バイオテクノロジー企業ocugen [84] inc,が獲得 [84] 欧州,日本での販売開始に向けて進行中 [84] 製造,商業化のライセンスを Top Word Pairs in Tweet in G8:
[119] covid,19 [93] 81,vaccinated [92] higher,vaccinated [92] rates,81 [92] times,higher [92] vaccinated,fifty [92] effective,covid [92] safe,effective [92] fifty,times [92] death,rates Top Word Pairs in Tweet in G9:
[77] covid,19 [13] last,week [13] covid,deaths [11] harsh,reality [11] society,behaving [11] still,grasp [11] equilibrium,harsh [11] reached,disease [11] free,equilibrium [11] reality,still Top Word Pairs in Tweet in G10:
[36] covid,19 [25] uk,advertising [25] standards,authority [25] ads,claiming [25] ruled,ads [25] authority,ruled [25] masks,prevent [25] claiming,masks [25] spread,covid [25] march,2020 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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Top Tweeters in G10: