The graph represents a network of 4,471 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 July 2020 at 09:45 UTC.
The requested start date was Wednesday, 01 July 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 4-day, 1-hour, 59-minute period from Friday, 26 June 2020 at 21:54 UTC to Tuesday, 30 June 2020 at 23:54 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 : 4471
Unique Edges : 3041
Edges With Duplicates : 6459
Total Edges : 9500
Number of Edge Types : 5
Retweet : 2537
MentionsInRetweet : 3491
Mentions : 1115
Tweet : 1884
Replies to : 473
Self-Loops : 2001
Reciprocated Vertex Pair Ratio : 0.00898925674194256
Reciprocated Edge Ratio : 0.0178183398522382
Connected Components : 1059
Single-Vertex Connected Components : 676
Maximum Vertices in a Connected Component : 2209
Maximum Edges in a Connected Component : 5704
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 6.03107
Graph Density : 0.000230268441364858
Modularity : 0.506947
NodeXL Version : 1.0.1.437
Data Import : The graph represents a network of 4,471 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 July 2020 at 09:45 UTC.
The requested start date was Wednesday, 01 July 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 4-day, 1-hour, 59-minute period from Friday, 26 June 2020 at 21:54 UTC to Tuesday, 30 June 2020 at 23:54 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:
[409] read,more [237] covid,19 [233] #cdc,#coronavirus [224] #coronavirus,#covid19 [211] aoecoin,#breaking [211] more,#cdc [204] #breaking,#breakingnews [179] #who,#cdc [164] #covid19,#mers [158] #mers,#outbreak Top Word Pairs in Tweet in G1:
[41] covid,19 [40] #cdc,#cdc7words [40] #cdc7words,#bannedwords [40] #bannedwords,#orwell [40] #orwell,#doubleplusgoodspeak [40] #doubleplusgoodspeak,#maga [40] #maga,#trumphasdementia [31] bbc,news [31] news,home [29] #covid19,#cdc Top Word Pairs in Tweet in G2:
[59] realdonaldtrump,angry [59] angry,#fauci [59] #fauci,flip [59] flip,flopping [59] flopping,daily [59] daily,#cdc [59] #cdc,making [59] making,mistakes [59] mistakes,lying [58] ladyredwave,realdonaldtrump Top Word Pairs in Tweet in G3:
[203] aoecoin,#breaking [193] #breaking,#breakingnews [109] #breakingnews,#usa [109] #usa,#cdc [109] #cdc,admits [84] #breakingnews,#canada's [84] #canada's,#toronto [84] #toronto,public [84] public,#health [84] #health,admitted Top Word Pairs in Tweet in G4:
[134] need,back [134] back,business [134] business,hand [134] hand,stopping [134] stopping,global [134] global,#eugenics [134] #eugenics,movement [134] movement,#plannedparenthood [133] busydrt,need [133] #plannedparenthood,#gatesfoundation Top Word Pairs in Tweet in G5:
[96] ertificate,accination [96] accination,id [89] id,entifiation [88] entifiation,rtificial [87] coincidence,ertificate [80] rtificial,ntelligence [61] #covid19,#coronavirus [59] #coronavirus,#vaccines [58] ntelligence,#covid19 [54] #vaccines,#billgates Top Word Pairs in Tweet in G6:
[65] dr,larry [65] larry,palevsky [65] palevsky,md [65] md,states [65] states,publicly [65] publicly,legal [65] legal,affidavit [65] affidavit,measles [65] measles,outbreak [65] outbreak,#newyork Top Word Pairs in Tweet in G7:
[94] borrowed,johncooper4nash [94] johncooper4nash,#masks [94] #masks,#cdc [94] #cdc,#fear [94] #fear,#election2020 [93] carolmswain,borrowed [60] abortion,clinics [30] believed,shutting [30] shutting,down [30] down,abortion Top Word Pairs in Tweet in G8:
[16] #cdc,cdcgov [16] #covid,19 [15] #cdc,adds [15] adds,#nausea [15] #nausea,#diarrhea [15] #diarrhea,#congestion [15] list,mailonline [14] #congestion,#covid [14] 19,#symptoms [14] #symptoms,list Top Word Pairs in Tweet in G9:
[10] anne,schuchat [9] #cdc,anne [6] cdcdirector,redfield [6] #covid19,#vaccines [6] #cdc,#fda [5] #cdc,guidelines [5] #covid19,#masks [4] asked,cdcdirector [4] last,week [4] #cdc,schuchat Top Word Pairs in Tweet in G10:
[23] corona,emergency [23] emergency,hearing [22] international,tribunal [22] tribunal,corona [21] hearing,#drfauci [21] #who,#cdc [19] #drfauci,#who [19] #cdc,#nih [15] #nih,#doctors [12] #doctors,#nurse 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: