The graph represents a network of 6,674 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, 24 November 2021 at 10:55 UTC.
The requested start date was Wednesday, 24 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 11-day, 13-hour, 11-minute period from Friday, 12 November 2021 at 11:48 UTC to Wednesday, 24 November 2021 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 : 6674
Unique Edges : 3744
Edges With Duplicates : 10793
Total Edges : 14537
Number of Edge Types : 5
Retweet : 3910
MentionsInRetweet : 4991
Mentions : 2280
Tweet : 2819
Replies to : 537
Self-Loops : 2972
Reciprocated Vertex Pair Ratio : 0.0122506675043191
Reciprocated Edge Ratio : 0.0242048099301784
Connected Components : 1534
Single-Vertex Connected Components : 1004
Maximum Vertices in a Connected Component : 2735
Maximum Edges in a Connected Component : 7480
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 6.971659
Graph Density : 0.000144715681624782
Modularity : 0.474686
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 6,674 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, 24 November 2021 at 10:55 UTC.
The requested start date was Wednesday, 24 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 11-day, 13-hour, 11-minute period from Friday, 12 November 2021 at 11:48 UTC to Wednesday, 24 November 2021 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:
[583] #trading,#blockchain [583] #blockchain,#crypto [583] #cryptodogsclub,#cdc [582] #crypto,#cryptotrading [568] crypto,dogs [566] #cryptotrading,#cryptodogsclub [562] dogs,club [550] #social,#trading [535] sell,buy [533] cdc,token Top Word Pairs in Tweet in G1:
[371] #cryptodogsclub,#cdc [370] #blockchain,#crypto [369] #trading,#blockchain [369] #crypto,#cryptotrading [363] #cryptotrading,#cryptodogsclub [354] #social,#trading [106] #cdc,#cdc7words [106] #cdc7words,#bannedwords [106] #bannedwords,#orwell [106] #orwell,#doubleplusgoodspeak Top Word Pairs in Tweet in G2:
[530] crypto,dogs [530] dogs,club [529] cryptodogsclub,crypto [528] club,presale [528] presale,mint [528] mint,event [528] event,ended [528] ended,thanks [528] thanks,participating [528] participating,sell Top Word Pairs in Tweet in G3:
[167] #landlord,#landlords [167] #landlords,#apartmentliving [167] #apartmentliving,#reviewyourlandlordsafestan [167] #reviewyourlandlordsafestan,#coronavirus [167] #coronavirus,#covid19 [167] #covid19,#rentrelief [148] #rentrelief,#evictionmoratorium [148] #evictionmoratorium,#cdc [83] united,states [80] traveling,united Top Word Pairs in Tweet in G4:
[26] greatgameindia,threadreaderapp [26] threadreaderapp,potus [26] potus,genflynn [26] genflynn,tuckercarlson [26] tuckercarlson,dailycaller [26] dailycaller,whitehouse [26] whitehouse,secretservice [26] secretservice,rudygiuliani [26] rudygiuliani,zev_dr [16] #cdc,#fauci Top Word Pairs in Tweet in G5:
[41] remember,2016 [41] 2016,kooks [41] kooks,supportprop [41] supportprop,dr [41] dr,grabby [41] grabby,hands [41] hands,#tomfrieden [41] #tomfrieden,#cdc [41] #cdc,going [41] going,solve Top Word Pairs in Tweet in G6:
[171] 146,million [171] million,people [171] people,#america [171] #america,#naturalimmunity [171] #naturalimmunity,retweet [171] retweet,hell [171] hell,people [171] people,need [171] need,know [171] know,#cdc Top Word Pairs in Tweet in G7:
[57] #notthesame,#cdc [57] #cdc,jelliotmp [56] lyndafrench19,#notthesame [27] cashless,debit [27] debit,card [27] card,#cdc [27] #cdc,#lnpcrimefamily [26] ladempseylisa,cashless [25] #auspol,#cdc [24] #cdc,nanna Top Word Pairs in Tweet in G8:
[24] #cdc,#fda [20] #merck,lab [20] lab,#gates [20] bioterror,attack [19] #covid19,#covid [19] smallpox,found [19] found,#merck [19] #gates,declares [19] declares,billions [19] billions,needed Top Word Pairs in Tweet in G9:
[102] demanda,formal [102] formal,#cdc [102] #cdc,admite [102] admite,pruebas [102] pruebas,individuo [102] individuo,inmunidad [102] inmunidad,natural [101] giuseppenoc,demanda [101] natural,propa Top Word Pairs in Tweet in G10:
[28] number,deaths [24] covid,19 [21] first,read [20] read,zombie [20] 19,vaccines [19] zombie,nation [15] subscribe,first [15] deaths,associated [14] #covid,#coronavirus [14] #coronavirus,#mandate 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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