The graph represents a network of 5,656 Twitter users whose recent tweets contained "Coronavirus", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 1/10/2023 5:00:34 PM. The network was obtained from Twitter on Wednesday, 11 January 2023 at 09:31 UTC.
The tweets in the network were tweeted over the 1069-day, 9-hour, 46-minute period from Thursday, 06 February 2020 at 15:13 UTC to Wednesday, 11 January 2023 at 01:00 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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 : 5656
Unique Edges : 2471
Edges With Duplicates : 9811
Total Edges : 12282
Number of Edge Types : 9
Replies to : 733
MentionsInReplyTo : 1532
Tweet : 1019
Retweet : 3929
MentionsInRetweet : 4660
Mentions : 323
Quote : 59
MentionsInQuoteReply : 18
MentionsInQuote : 9
Self-Loops : 1297
Reciprocated Vertex Pair Ratio : 0.0214335910049192
Reciprocated Edge Ratio : 0.0419676642586859
Connected Components : 1058
Single-Vertex Connected Components : 428
Maximum Vertices in a Connected Component : 2009
Maximum Edges in a Connected Component : 4571
Maximum Geodesic Distance (Diameter) : 29
Average Geodesic Distance : 8.435371
Graph Density : 0.00018177452455363
Modularity : 0.490407
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 5,656 Twitter users whose recent tweets contained "Coronavirus", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 1/10/2023 5:00:34 PM. The network was obtained from Twitter on Wednesday, 11 January 2023 at 09:31 UTC.
The tweets in the network were tweeted over the 1069-day, 9-hour, 46-minute period from Thursday, 06 February 2020 at 15:13 UTC to Wednesday, 11 January 2023 at 01:00 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
Graph Term : Coronavirus
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:
[936] schools,state [936] went,private [936] 157m,went [936] loans,157m [936] private,schools [936] schools,nothing [936] state,schools [936] nothing,opendemocracy [936] coronavirus,loans [915] jimfitznews,coronavirus Top Word Pairs in Tweet in G1:
[912] schools,state [912] went,private [912] loans,157m [912] 157m,went [912] nothing,opendemocracy [912] private,schools [912] state,schools [912] schools,nothing [912] coronavirus,loans [907] jimfitznews,coronavirus Top Word Pairs in Tweet in G2:
[786] acude,centro [786] cercano,domicilio [786] #prevención,acude [786] centro,inmunización [786] lugar,trabajo [786] trabajo,ponte [786] domicilio,lugar [786] ponte,vacuna [786] inmunización,cercano [771] vtvcanal8,#prevención Top Word Pairs in Tweet in G3:
[85] covid,19 [26] #coronavirus,#covid19 [19] bursting,china [19] china,zero [19] covid,dykes [19] led,bursting [19] zero,covid [19] variant,coronavirus [19] omicron,variant [19] coronavirus,led Top Word Pairs in Tweet in G4:
[300] finally,over [300] decisions,affecting [300] military,readiness [300] worst,policy [300] forced,congress [300] readiness,finally [300] secdef,forced [300] over,secdef [300] affecting,military [300] one,worst Top Word Pairs in Tweet in G5:
[8] covid,19 [7] many,people [5] fades,over [5] vaccine,fades [5] protection,covid [5] dose,please [5] 19,vaccine [5] another,dose [5] being,offered [5] please,come Top Word Pairs in Tweet in G6:
[117] vaccinated,against [117] covid,19 [117] against,covid [116] ages,11 [116] 19,parents [116] 11,longer [116] kids,ages [116] netherlands,announces [116] need,vaccinated [116] longer,need Top Word Pairs in Tweet in G7:
[87] ｗｈｏ,長距離航空便でのマスク着用支持 [87] 長距離航空便でのマスク着用支持,オミクロン株派生型の感染拡大で [82] アメリカで広がっているxbb,5は感染力が強く [82] 当たり前だが,whoはマスク着用支持である [82] オミクロン株派生型の感染拡大で,当たり前だが [82] whoはマスク着用支持である,アメリカで広がっているxbb [82] 5は感染力が強く,日本にも今後影響が出る可能性がある [82] 11水,ｗｈｏ [81] triangle24,11水 [26] ひゃあ,高い Top Word Pairs in Tweet in G8:
[33] million,people [32] people,missed [32] work,illness [32] analysis,million [32] illness,last [32] missed,work [32] years,average [32] three,years [32] month,past [32] past,three Top Word Pairs in Tweet in G9:
[49] people,missing [48] average,people [48] work,due [48] pre,pandemic [48] 55,pre [48] missing,work [48] years,nearly [48] pandemic,years [48] due,illness [48] nearly,5m Top Word Pairs in Tweet in G10:
[43] back,pedal [43] researchers,massgenbrigham [43] immediately,back [43] pedal,press [43] same,researchers [43] release,order [43] massgenbrigham,felt [43] need,immediately [43] press,release [43] felt,need Top Replied-To in Entire Graph:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
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:
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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: