The graph represents a network of 7,350 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, 05 January 2022 at 10:50 UTC.
The requested start date was Wednesday, 05 January 2022 at 01:01 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 5-day, 4-hour, 15-minute period from Thursday, 30 December 2021 at 20:45 UTC to Wednesday, 05 January 2022 at 01:00 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 : 7350
Unique Edges : 4020
Edges With Duplicates : 9573
Total Edges : 13593
Number of Edge Types : 5
Tweet : 2760
Retweet : 4177
MentionsInRetweet : 4848
Replies to : 467
Mentions : 1341
Self-Loops : 2876
Reciprocated Vertex Pair Ratio : 0.00490273604301756
Reciprocated Edge Ratio : 0.00975763298709474
Connected Components : 2058
Single-Vertex Connected Components : 1431
Maximum Vertices in a Connected Component : 2485
Maximum Edges in a Connected Component : 5573
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 5.608054
Graph Density : 0.000117633663888742
Modularity : 0.518371
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 7,350 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, 05 January 2022 at 10:50 UTC.
The requested start date was Wednesday, 05 January 2022 at 01:01 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 5-day, 4-hour, 15-minute period from Thursday, 30 December 2021 at 20:45 UTC to Wednesday, 05 January 2022 at 01:00 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:
[775] pfizer,biontech [629] #cdc,recommends [581] covid,19 [416] #cdc,updated [404] cdcgov,#cdc [396] updated,recommendations [390] #covid19,vaccine [387] recommendations,use [387] biontech,#covid19 [387] biontech,covid Top Word Pairs in Tweet in G1:
[69] covid,19 [68] #cdc,recommends [65] #cdcsays,#cdc [55] cdc,recommends [45] #cdc,#cdc7words [45] #cdc7words,#bannedwords [45] #bannedwords,#orwell [45] #orwell,#doubleplusgoodspeak [45] #doubleplusgoodspeak,#maga [45] #maga,#trumphasdementia Top Word Pairs in Tweet in G2:
[757] pfizer,biontech [392] cdcgov,#cdc [380] covid,19 [379] #cdc,updated [379] updated,recommendations [379] recommendations,use [379] use,pfizer [379] biontech,#covid19 [379] #covid19,vaccine [378] vaccine,people Top Word Pairs in Tweet in G3:
[173] #cdcsays,#cdc [164] #cdc,#cdcrecommends [121] #cdcrecommends,#cdcguidelines [119] cdc,guidelines [118] guidelines,#cdcsays [118] #cdcguidelines,#omicron [118] #omicron,#skit [118] #skit,#comedy [117] hotvickkrishna,cdc [96] #cdc,#cdcsays Top Word Pairs in Tweet in G4:
[26] cdcgov,cdcdirector [18] #cdcsays,#cdc [10] #cdc,#cdcrecommends [9] public,health [8] whcovidresponse,whcos [8] whcos,joebiden [8] joebiden,#cdcsays [8] insane,poor [8] poor,pilot [8] pilot,forced Top Word Pairs in Tweet in G5:
[110] known,nearly [110] nearly,two [110] two,years [110] years,fact [110] fact,known [110] known,longer [110] longer,data [110] data,always [110] always,available [109] pasreport,known Top Word Pairs in Tweet in G6:
[148] #cdc,recommends [148] recommends,watching [148] watching,queereye [148] queereye,season [148] season,tomorrow [147] bobbyberk,#cdc [20] boosted,make [20] make,sure [20] sure,share [20] share,important Top Word Pairs in Tweet in G7:
[87] #cdc,nft [87] nft,platform [86] promised,doing [86] doing,giveaway [86] giveaway,#nfts [86] #nfts,billionaire [86] billionaire,lions [86] lions,club [86] club,#cdc [86] platform,ve Top Word Pairs in Tweet in G8:
[130] #cdc,really [130] really,saying [130] saying,point [130] point,put [130] put,tussin [129] the_a_prentice,#cdc Top Word Pairs in Tweet in G9:
[125] abc,news [125] news,随着 [125] 随着,#omicron [125] #omicron,变体继续传播 [125] 变体继续传播,#cdc [125] #cdc,宣布对一些感染的 [125] 宣布对一些感染的,#covid [125] #covid,19 [125] 19,患者的隔离期更短 [125] 患者的隔离期更短,cdc Top Word Pairs in Tweet in G10:
[62] cdc,admet [62] admet,pandémie [62] pandémie,covid [62] covid,était [62] était,produit [62] produit,test [62] test,inapproprié [62] inapproprié,extraordinaire [62] extraordinaire,retrait [61] dubreuilhmarcel,cdc 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 G7:
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: