The graph represents a network of 6,468 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, 25 May 2022 at 10:03 UTC.
The requested start date was Wednesday, 25 May 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 9-day, 22-hour, 13-minute period from Sunday, 15 May 2022 at 01:44 UTC to Tuesday, 24 May 2022 at 23:57 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 : 6468
Unique Edges : 3711
Edges With Duplicates : 10647
Total Edges : 14358
Number of Edge Types : 5
Tweet : 2366
Mentions : 1412
Retweet : 4492
MentionsInRetweet : 5613
Replies to : 475
Self-Loops : 2489
Reciprocated Vertex Pair Ratio : 0.0144216017183185
Reciprocated Edge Ratio : 0.0284331518451301
Connected Components : 1433
Single-Vertex Connected Components : 932
Maximum Vertices in a Connected Component : 1880
Maximum Edges in a Connected Component : 4529
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 6.527032
Graph Density : 0.000158073828797724
Modularity : 0.487817
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 6,468 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, 25 May 2022 at 10:03 UTC.
The requested start date was Wednesday, 25 May 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 9-day, 22-hour, 13-minute period from Sunday, 15 May 2022 at 01:44 UTC to Tuesday, 24 May 2022 at 23:57 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:
[574] #sarscov,#hiv [574] #hiv,#marburg [574] #marburg,#monkeypox [574] #monkeypox,#h3n8 [574] genre,film [574] film,sanitaire [571] #h3n8,serait [571] serait,ce [571] ce,titre [571] titre,prochains Top Word Pairs in Tweet in G1:
[93] #cdc,#cdc7words [93] #cdc7words,#bannedwords [93] #bannedwords,#orwell [93] #orwell,#doubleplusgoodspeak [93] #doubleplusgoodspeak,#maga [93] #maga,#trumphasdementia [51] #cdc,#who [46] #who,#cdc [39] covid,19 [35] #health,#cdc Top Word Pairs in Tweet in G2:
[566] #sarscov,#hiv [566] #hiv,#marburg [566] #marburg,#monkeypox [566] #monkeypox,#h3n8 [566] #h3n8,serait [566] serait,ce [566] ce,titre [566] titre,prochains [566] prochains,mauvais [566] mauvais,téléfilms Top Word Pairs in Tweet in G3:
[157] #cro,#crofam [153] drop,check [134] #crofam,#fftb [88] #nft,#nfts [87] #cdc,#crofam [78] #crofam,#cro [73] discrod,#cro [67] #fftb,#crypto [65] #cro,#fftb [62] much,support Top Word Pairs in Tweet in G4:
[25] #cdc,#dea [21] severe,pain [20] jennifer,mcquiston [18] #cdc,jennifer [16] one,thing [16] thing,certain [16] certain,safe [16] safe,effective [16] effective,#opioidrxs [16] #opioidrxs,control Top Word Pairs in Tweet in G5:
[261] finanzas_times,#últimahora [171] #últimahora,#alerta [171] #alerta,#cdc [171] #cdc,emiten [171] emiten,alerta [171] alerta,instando [171] instando,médicos [171] médicos,departamentos [171] departamentos,salud [171] salud,estatales Top Word Pairs in Tweet in G6:
[30] gun,violence [29] study,gun [19] #cdc,cdcgov [17] public,health [16] right,cdcgov [16] cdcgov,funded [16] funded,study [16] violence,country [16] country,time [16] time,treat Top Word Pairs in Tweet in G7:
[209] #affenpocken,die [209] die,neue [209] neue,geißel [209] geißel,#menschheit [209] #menschheit,wieder [209] wieder,#virus [209] #virus,irgendwoher [209] irgendwoher,wieder [209] wieder,gab [209] gab,vorher Top Word Pairs in Tweet in G8:
[101] nft,giveaway [86] nft,rules [82] chance,win [80] #crofam,#giveaway [80] #giveaway,time [80] time,chance [80] win,skullcats_nft [80] skullcats_nft,#twitterpicker [80] #twitterpicker,winner [80] winner,win Top Word Pairs in Tweet in G9:
[16] tb,#tuberculous [16] #tuberculous,kills [16] kills,millions [16] millions,people [16] people,year [16] year,very [16] very,contagious [16] contagious,one [15] one,cares [13] cares,one Top Word Pairs in Tweet in G10:
[32] #cdc,#新冠疫苗 [32] #新冠疫苗,#美国 [32] #美国,路透社近日报道 [32] 路透社近日报道,美国疾病控制和预防中心 [32] 美国疾病控制和预防中心,cdc [32] cdc,的一个顾问小组周四投票建议为5至11岁的儿童注射新冠疫苗加强针 [32] 的一个顾问小组周四投票建议为5至11岁的儿童注射新冠疫苗加强针,至少在完成两针疫苗接种后五个月接种 [31] ztich9rvn2ra9xn,#cdc [28] #astrazeneca,#moderna [28] #america,#xijinping Top Replied-To in Entire Graph:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G6:
Top Replied-To in G9:
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:
Top Mentioned in G6:
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: