The graph represents a network of 7,214 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 August 2020 at 09:46 UTC.
The requested start date was Wednesday, 05 August 2020 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 4-day, 4-hour, 28-minute period from Friday, 31 July 2020 at 19:30 UTC to Tuesday, 04 August 2020 at 23:59 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 : 7214
Unique Edges : 2453
Edges With Duplicates : 12536
Total Edges : 14989
Number of Edge Types : 5
Tweet : 1455
Mentions : 1180
Replies to : 318
Retweet : 5669
MentionsInRetweet : 6367
Self-Loops : 1574
Reciprocated Vertex Pair Ratio : 0.00516936471228404
Reciprocated Edge Ratio : 0.0102855596156449
Connected Components : 777
Single-Vertex Connected Components : 448
Maximum Vertices in a Connected Component : 5155
Maximum Edges in a Connected Component : 11086
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 3.860564
Graph Density : 0.000142001717242583
Modularity : 0.453262
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 7,214 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 August 2020 at 09:46 UTC.
The requested start date was Wednesday, 05 August 2020 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 4-day, 4-hour, 28-minute period from Friday, 31 July 2020 at 19:30 UTC to Tuesday, 04 August 2020 at 23:59 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:
[3385] #cdc,#who [3188] documented,#cdc [3187] received,flu [3165] flu,vaccine [3162] single,person [3162] person,died [3162] died,covid19 [3162] covid19,received [3160] vaccine,documented [3159] #who,british Top Word Pairs in Tweet in G1:
[3081] #cdc,#who [3081] #who,british [3081] british,gov [3080] single,person [3080] person,died [3080] died,covid19 [3080] covid19,received [3080] received,flu [3080] flu,vaccine [3080] vaccine,documented Top Word Pairs in Tweet in G2:
[40] thebaddadder,realdonaldtrump [40] realdonaldtrump,well [40] well,exactly [40] exactly,ve [40] ve,trying [40] trying,explain [40] explain,people [39] joanofamerica,thebaddadder [39] people,unders [24] #cdc,#who Top Word Pairs in Tweet in G3:
[50] covid,19 [34] #cdc,#cdc7words [34] #cdc7words,#bannedwords [34] #bannedwords,#orwell [34] #orwell,#doubleplusgoodspeak [34] #doubleplusgoodspeak,#maga [34] #maga,#trumphasdementia [24] #cdc,#who [20] #covid19,#cdc [18] #cdc,director Top Word Pairs in Tweet in G4:
[384] #who,#cdc [191] people,try [191] try,discredit [191] discredit,#hydroxychloroquine [191] #hydroxychloroquine,refer [191] refer,#who [191] #cdc,fail [191] fail,point [191] point,#who [189] drscott_atlanta,people Top Word Pairs in Tweet in G5:
[263] talked,girlfriend [263] girlfriend,works [263] works,#cdc [263] #cdc,today [263] today,daycare [263] daycare,employees [263] employees,opened [263] opened,monday [263] monday,already [262] kerileighmerrit,talked Top Word Pairs in Tweet in G6:
[64] #cdc,#fda [62] trump,wins [62] wins,re [62] re,election [62] election,needs [62] needs,ravage [62] ravage,agencies [62] agencies,#cdc [62] #fda,mass [62] mass,fire Top Word Pairs in Tweet in G7:
[228] vaccine,company [114] #cdc,independent [114] independent,agency [114] agency,vaccine [114] company,vaccine [114] company,owns [114] owns,over [114] over,20 [114] 20,vaccine [114] vaccine,patents Top Word Pairs in Tweet in G8:
[20] #cdc,#opioid [20] #opioid,guideline [19] think,#cdc [19] guideline,restrictive [19] restrictive,checkout [19] checkout,draft [19] draft,guideline [19] guideline,released [19] released,today [18] painnewsnetwork,think Top Word Pairs in Tweet in G9:
[97] #cdc,director [96] director,more [96] more,deaths [96] deaths,high [96] high,school [96] school,students [96] students,suicides [96] suicides,drug [96] drug,overdoses [96] overdoses,#covid19 Top Word Pairs in Tweet in G10:
[81] cdc,director [79] megavolts001,#cdc [55] #cdc,#coronavirus [55] #coronavirus,#inflation [55] #inflation,#msm [55] #msm,mainstream [55] mainstream,media [55] media,silent [55] silent,cdc [55] director,admitted 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: