The graph represents a network of 6,178 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, 10 November 2021 at 10:51 UTC.
The requested start date was Wednesday, 10 November 2021 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 9-day, 7-hour, 59-minute period from Sunday, 31 October 2021 at 16:40 UTC to Wednesday, 10 November 2021 at 00:40 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 : 6178
Unique Edges : 3220
Edges With Duplicates : 9696
Total Edges : 12916
Number of Edge Types : 5
Retweet : 3658
MentionsInRetweet : 4419
Mentions : 1265
Replies to : 608
Tweet : 2966
Self-Loops : 3068
Reciprocated Vertex Pair Ratio : 0.0101776461880089
Reciprocated Edge Ratio : 0.0201502106612933
Connected Components : 1651
Single-Vertex Connected Components : 1078
Maximum Vertices in a Connected Component : 2247
Maximum Edges in a Connected Component : 5705
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 6.442651
Graph Density : 0.000143049910032377
Modularity : 0.467428
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 6,178 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, 10 November 2021 at 10:51 UTC.
The requested start date was Wednesday, 10 November 2021 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 9-day, 7-hour, 59-minute period from Sunday, 31 October 2021 at 16:40 UTC to Wednesday, 10 November 2021 at 00:40 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:
[872] #cryptodogsclub,#cdc [654] #trading,#blockchain [654] #blockchain,#crypto [645] #crypto,#cryptotrading [640] #cryptotrading,#cryptodogsclub [633] #social,#trading [561] ø,ø [476] ø,ù [417] covid,19 [400] î,î Top Word Pairs in Tweet in G1:
[533] #cryptodogsclub,#cdc [403] #trading,#blockchain [403] #blockchain,#crypto [396] #crypto,#cryptotrading [393] #cryptotrading,#cryptodogsclub [386] #social,#trading [135] #nftdrop,#cryptodogsclub [133] #nftgiveaway,#nftdrop [109] î,î [100] covid,19 Top Word Pairs in Tweet in G2:
[251] united,states [240] traveling,united [240] states,air [237] starting,nov [233] passengers,traveling [136] traveling,internationally [136] internationally,starting [136] nov,requirements [132] requirements,passengers [132] air,change Top Word Pairs in Tweet in G3:
[280] #cryptodogsclub,#cdc [199] #blockchain,#crypto [198] #trading,#blockchain [198] #crypto,#cryptotrading [198] #cryptotrading,#cryptodogsclub [195] #social,#trading [78] #nftdrop,#cryptodogsclub [77] #nftgiveaway,#nftdrop [56] cryptodogsclub,project [56] #nfts,#bsc Top Word Pairs in Tweet in G4:
[245] î,î [118] heck,jackass [118] jackass,think [118] think,hitler [118] hitler,god [118] god,behaviour [118] behaviour,modification [118] modification,really [118] really,maybe [118] maybe,time Top Word Pairs in Tweet in G5:
[149] c'est,beau [149] beau,science [149] science,21ème [149] 21ème,siècle [149] siècle,comme [149] comme,leurs [149] leurs,#vaccins [149] #vaccins,sont [149] sont,totalement [149] totalement,inefficaces Top Word Pairs in Tweet in G6:
[27] #cdc,#acip [23] cdcdirector,walensky [19] âœ,covid [19] covid,vax [19] covid,dangerous [19] âœ,kids [18] spoilers,really [18] really,useful [18] useful,thread [18] thread,meganranney Top Word Pairs in Tweet in G7:
[123] #cdc,altered [123] altered,definition [123] concern,definition [123] definition,apply [123] apply,#vaccines [123] #vaccines,against [121] epochtimes,#cdc [72] definition,œvaccineâ [72] œvaccineâ,concern [71] against,#covâ Top Word Pairs in Tweet in G8:
[120] #landlord,#landlords [120] #landlords,#apartmentliving [120] #apartmentliving,#reviewyourlandlordsafestan [120] #reviewyourlandlordsafestan,#coronavirus [120] #coronavirus,#covid19 [120] #covid19,#rentrelief [107] #rentrelief,#evictionmoratorium [107] #evictionmoratorium,#cdc [32] #cdc,#acip [31] #covid19,#vaccine Top Word Pairs in Tweet in G9:
[78] #astrazeneca,#cdc [43] rwmalonemd,rwmalonemd [43] rwmalonemd,seen [43] seen,damning [43] damning,testimony [43] testimony,against [43] against,#astrazeneca [43] #cdc,#fda [43] #fda,#nih [43] #nih,seems Top Word Pairs in Tweet in G10:
[23] #cdc,#fda [22] directeur,#cdc [21] sénateur,#cassidy [21] #cassidy,demande [21] demande,directeur [21] #cdc,#walensky [21] #walensky,quel [21] quel,pourcentage [21] pourcentage,employés [21] employés,cdc 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: