The graph represents a network of 6,080 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, 01 June 2022 at 10:03 UTC.
The requested start date was Wednesday, 01 June 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 11-day, 20-hour, 11-minute period from Friday, 20 May 2022 at 03:25 UTC to Tuesday, 31 May 2022 at 23:37 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 : 6080
Unique Edges : 3516
Edges With Duplicates : 10799
Total Edges : 14315
Number of Edge Types : 5
Retweet : 4426
MentionsInRetweet : 5534
Tweet : 2399
Replies to : 412
Mentions : 1544
Self-Loops : 2517
Reciprocated Vertex Pair Ratio : 0.013868962219034
Reciprocated Edge Ratio : 0.0273584905660377
Connected Components : 1344
Single-Vertex Connected Components : 870
Maximum Vertices in a Connected Component : 2916
Maximum Edges in a Connected Component : 8931
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 7.201516
Graph Density : 0.000172076432238682
Modularity : 0.469848
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 6,080 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, 01 June 2022 at 10:03 UTC.
The requested start date was Wednesday, 01 June 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 11-day, 20-hour, 11-minute period from Friday, 20 May 2022 at 03:25 UTC to Tuesday, 31 May 2022 at 23:37 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:
[339] #sarscov,#hiv [339] #hiv,#marburg [339] #marburg,#monkeypox [339] #monkeypox,#h3n8 [339] genre,film [339] film,sanitaire [336] #h3n8,serait [336] serait,ce [336] ce,titre [336] titre,prochains Top Word Pairs in Tweet in G1:
[42] #who,#cdc [40] #cdc,#who [35] #cdc,#news [33] #health,#cdc [29] #cdc,#health [26] #coronavirus,#news [25] #cdc,#fda [25] cdc,chief [24] #coronavirus,#cdc [23] #news,#health Top Word Pairs in Tweet in G2:
[199] #cro,#crofam [132] drop,check [120] discrod,#cro [102] #crofam,#fftb [98] rules,tag [98] tag,#nft [98] #nft,friends [98] friends,follow [84] giveaway,happy [84] happy,memorial Top Word Pairs in Tweet in G3:
[333] #sarscov,#hiv [333] #hiv,#marburg [333] #marburg,#monkeypox [333] #monkeypox,#h3n8 [333] #h3n8,serait [333] serait,ce [333] ce,titre [333] titre,prochains [333] prochains,mauvais [333] mauvais,téléfilms Top Word Pairs in Tweet in G4:
[111] #cdc,#cdc7words [111] #cdc7words,#bannedwords [111] #bannedwords,#orwell [111] #orwell,#doubleplusgoodspeak [111] #doubleplusgoodspeak,#maga [111] #maga,#trumphasdementia [31] based,#cdc [27] #who,#cdc [24] #cdc,#who [22] #cdc,cdcgov Top Word Pairs in Tweet in G5:
[210] #affenpocken,die [210] die,neue [210] neue,geißel [210] geißel,#menschheit [210] #menschheit,wieder [210] wieder,#virus [210] #virus,irgendwoher [210] irgendwoher,wieder [210] wieder,gab [210] gab,vorher Top Word Pairs in Tweet in G6:
[29] severe,pain [28] #hhs,#doj [27] evidence,stacking [27] stacking,#federal [27] #federal,#state [27] #state,govt [27] govt,#cdc [27] #cdc,#hhs [27] #doj,knew [27] knew,raiding Top Word Pairs in Tweet in G7:
[192] 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 G8:
[96] #astrazeneca,#pfizer [68] #pfizer,#moderna [58] covid,19 [56] 19,vaccine [55] vaccine,injury [55] injury,herpes [55] herpes,meningitis [55] meningitis,confirmed [55] confirmed,korean [55] korean,medical Top Word Pairs in Tweet in G9:
[20] monkeypox,cases [20] #cdc,#nih [17] #cdc,videos [17] videos,youtube [15] #monkeypox,#cdc [15] covid,19 [15] cdc_gabon,# [12] #who,#cdc [11] tutorial,make [11] anti,viral Top Word Pairs in Tweet in G10:
[40] #cdc,#バイデン [39] あ,あ [39] あ,こりゃヤバイ [39] こりゃヤバイ,これ見てヤバイと思わない日本人はヤバイ [39] これ見てヤバイと思わない日本人はヤバイ,#cdc [39] #バイデン,#ds [39] #ds,#ディープステイト [38] nagasi,あ [24] イベルメクチンは世界で最も安全な必須医薬品の1つである,#fda [24] #fda,#イベルメクチン Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
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:
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: