The graph represents a network of 6,101 Twitter users whose tweets in the requested range contained "#CDC", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 31 August 2022 at 10:01 UTC.
The requested start date was Wednesday, 31 August 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 10-day, 5-hour, 16-minute period from Saturday, 20 August 2022 at 18:40 UTC to Tuesday, 30 August 2022 at 23:56 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 : 6101
Unique Edges : 3961
Edges With Duplicates : 11325
Total Edges : 15286
Number of Edge Types : 5
Retweet : 4543
MentionsInRetweet : 6159
Tweet : 2103
Replies to : 678
Mentions : 1803
Self-Loops : 2214
Reciprocated Vertex Pair Ratio : 0.0151162790697674
Reciprocated Edge Ratio : 0.0297823596792669
Connected Components : 1068
Single-Vertex Connected Components : 624
Maximum Vertices in a Connected Component : 3341
Maximum Edges in a Connected Component : 10202
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 6.073683
Graph Density : 0.000187660716732812
Modularity : 0.462281
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 6,101 Twitter users whose tweets in the requested range contained "#CDC", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 31 August 2022 at 10:01 UTC.
The requested start date was Wednesday, 31 August 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 10-day, 5-hour, 16-minute period from Saturday, 20 August 2022 at 18:40 UTC to Tuesday, 30 August 2022 at 23:56 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 : #CDC
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:
[349] freedom,information [349] information,act [347] scoop,enfin [347] enfin,transparence [347] transparence,vu [347] vu,tous [347] tous,bloomberglaw [347] bloomberglaw,publie [347] publie,article [347] article,freedom Top Word Pairs in Tweet in G1:
[58] cdcgov,#cdc [56] #cdc,recommends [56] vaccinated,against [55] recommends,children [55] children,months [55] months,older [55] older,vaccinated [55] against,#covid19 [55] #covid19,reasons [55] reasons,child Top Word Pairs in Tweet in G2:
[89] #cdc,#cdc7words [89] #cdc7words,#bannedwords [89] #bannedwords,#orwell [89] #orwell,#doubleplusgoodspeak [89] #doubleplusgoodspeak,#maga [89] #maga,#trumphasdementia [23] based,#cdc [22] covid,19 [18] coli,outbreak [18] #fda,#cdc Top Word Pairs in Tweet in G3:
[345] scoop,enfin [345] enfin,transparence [345] transparence,vu [345] vu,tous [345] tous,bloomberglaw [345] bloomberglaw,publie [345] publie,article [345] article,freedom [345] freedom,information [345] information,act Top Word Pairs in Tweet in G4:
[170] one,year [170] year,anniversary [170] anniversary,mr [170] mr,miles [170] miles,guo [170] guo,revelation [170] revelation,artemisinin [170] artemisinin,#covid [170] #covid,antidote [157] #newyork,#dc Top Word Pairs in Tweet in G5:
[262] コロナワクチンは炎症と血栓症を誘発,#cdc [262] #cdc,#mrna [262] #mrna,#がん [262] #がん,#コロナワクチン [251] #コロナワクチン,もっと最新情報を知りたい場合は以下のリンクgettrにてご覧ください [250] himalayajapan,コロナワクチンは炎症と血栓症を誘発 [11] jpn_doctors,コロナワクチンは炎症と血栓症を誘発 [10] lililil24708461,jpn_doctors [5] 児童がワクチン接種後に深刻な副作用,5から11歳のワクチン接種した4249名の子供のうち [5] 5から11歳のワクチン接種した4249名の子供のうち,64 Top Word Pairs in Tweet in G6:
[176] angry,many [176] many,people [176] people,used [176] used,mad [158] rangsan30466330,angry [135] #nft,#nftthailand [125] mad,crofamnft [121] crofamnft,10 [94] 10,#nft [91] #cro,#crofam Top Word Pairs in Tweet in G7:
[81] #usa,#fauci [77] #sads,#suddenadultdeathsyndrome [77] #suddenadultdeathsyndrome,#biden [76] #biden,#usa [69] #myocarditis,#sads [66] #fauci,#covid [62] speak,#myocarditis [60] alphagi88956176,retweet [57] #pfizer,#moderna [54] #covid_19,#covid19 Top Word Pairs in Tweet in G8:
[91] mint,live [91] live,view [91] view,drop [91] #cro,drop [91] drop,link [91] link,#cronos [91] #cronos,#fftb [91] #fftb,#crofam [91] #crofam,#cronosnft [91] #cronosnft,#crocrows Top Word Pairs in Tweet in G9:
[13] tutorial,make [13] anti,viral [13] gt,gt [13] gt,#coronavirus [9] #cdc,#who [9] children,teens [8] #coronavirus,#covid19sarscov2 [8] teens,vaccinated [8] vaccinated,against [8] covid,19 Top Word Pairs in Tweet in G10:
[58] beginning,hold [58] hold,one [58] one,accountable [58] accountable,past [58] past,three [58] three,years [58] years,destroy [57] abolishwokeness,beginning [57] destroy,ci [32] big,pharma's Top Replied-To in Entire Graph:
Top Replied-To in G1:
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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: