The graph represents a network of 6,981 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, 08 September 2021 at 09:48 UTC.
The requested start date was Wednesday, 08 September 2021 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 7-day, 4-hour, 48-minute period from Tuesday, 31 August 2021 at 19:04 UTC to Tuesday, 07 September 2021 at 23:52 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 : 6981
Unique Edges : 3641
Edges With Duplicates : 10727
Total Edges : 14368
Number of Edge Types : 5
Retweet : 4554
MentionsInRetweet : 5508
Tweet : 2106
Mentions : 1504
Replies to : 696
Self-Loops : 2287
Reciprocated Vertex Pair Ratio : 0.00647295742232451
Reciprocated Edge Ratio : 0.012862655423753
Connected Components : 1332
Single-Vertex Connected Components : 845
Maximum Vertices in a Connected Component : 3918
Maximum Edges in a Connected Component : 8935
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 6.231679
Graph Density : 0.000143594833130778
Modularity : 0.503898
NodeXL Version : 1.0.1.446
Data Import : The graph represents a network of 6,981 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, 08 September 2021 at 09:48 UTC.
The requested start date was Wednesday, 08 September 2021 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 7-day, 4-hour, 48-minute period from Tuesday, 31 August 2021 at 19:04 UTC to Tuesday, 07 September 2021 at 23:52 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:
[976] #thomasmassie,l'un [976] l'un,plus [976] plus,gros [976] gros,scandales [976] scandales,toute [976] toute,cette [976] cette,pandémie [976] pandémie,dissimulation [976] dissimulation,été [976] été,commise Top Word Pairs in Tweet in G1:
[969] #thomasmassie,l'un [969] l'un,plus [969] plus,gros [969] gros,scandales [969] scandales,toute [969] toute,cette [969] cette,pandémie [969] pandémie,dissimulation [969] dissimulation,été [969] été,commise Top Word Pairs in Tweet in G2:
[68] #cdc,#cdc7words [68] #cdc7words,#bannedwords [68] #bannedwords,#orwell [68] #orwell,#doubleplusgoodspeak [68] #doubleplusgoodspeak,#maga [68] #maga,#trumphasdementia [61] #cdc,#fda [58] covid,19 [44] oh,mao [44] mao,god Top Word Pairs in Tweet in G3:
[508] service,dogs [507] breaking,#cdc [507] #cdc,refused [507] refused,lift [507] lift,ban [507] ban,order [507] order,rescue [507] rescue,service [507] dogs,everything [507] everything,ready Top Word Pairs in Tweet in G4:
[82] #potus,#cdc [74] #cdc,#potus [73] woman,150 [72] dogs,#cdc [71] 150,dogs [71] #potus,denied [71] denied,leaving [71] leaving,afghanistan [71] afghanistan,turned [71] turned,loose Top Word Pairs in Tweet in G5:
[46] cdc,dog [46] dog,ban [33] #cdc,mission [32] betsy_mccaughey,cdcgov [32] cdcgov,apparently [32] apparently,fighting [32] fighting,injustice [32] injustice,disease [32] disease,#cdc [30] opinion,betsy_mccaughey Top Word Pairs in Tweet in G6:
[261] 21,luglio [261] luglio,#cdc [261] #cdc,ritirato [261] ritirato,permesso [261] permesso,utilizzo [261] utilizzo,emergenziale [261] emergenziale,test [261] test,#pcr [261] #pcr,diagnosi [261] diagnosi,#covid19 Top Word Pairs in Tweet in G7:
[231] die,within [231] within,14 [231] 14,days [231] days,getting [231] getting,jab [231] jab,#cdc [231] #cdc,unvaccinated [231] unvaccinated,death [231] death,lying [231] lying,numbas Top Word Pairs in Tweet in G8:
[201] aaaand,here's [201] here's,final [201] final,take [201] take,warrior [201] warrior,mice [201] mice,based [201] based,samuelyounart [201] samuelyounart,design [201] design,enjoy [201] enjoy,#3dart Top Word Pairs in Tweet in G9:
[32] delta,skelter [27] hard,hitting [25] skelter,anti [25] anti,anti [25] anti,vax [25] vax,cover [25] cover,version [25] version,beatles [25] beatles,white [25] white,album Top Word Pairs in Tweet in G10:
[45] covid,19 [41] vaccinated,#covid19 [40] #cdc,listing [40] listing,vaccinated [40] #covid19,deaths [40] deaths,unvaxed [40] unvaxed,die [40] die,14 [40] 14,days [40] days,receiving 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: