The graph represents a network of 4,300 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, 19 February 2020 at 15:09 UTC.
The requested start date was Wednesday, 19 February 2020 at 01:01 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, 12-hour, 53-minute period from Monday, 10 February 2020 at 23:28 UTC to Saturday, 15 February 2020 at 12:22 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 : 4300
Unique Edges : 4889
Edges With Duplicates : 1561
Total Edges : 6450
Number of Edge Types : 4
MentionsInRetweet : 3845
Tweet : 1473
Replies to : 339
Mentions : 793
Self-Loops : 1473
Reciprocated Vertex Pair Ratio : 0.00614055037525586
Reciprocated Edge Ratio : 0.0122061482820976
Connected Components : 845
Single-Vertex Connected Components : 513
Maximum Vertices in a Connected Component : 2294
Maximum Edges in a Connected Component : 3861
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 6.683357
Graph Density : 0.000239320123122197
Modularity : 0.716575
NodeXL Version : 1.0.1.423
Data Import : The graph represents a network of 4,300 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, 19 February 2020 at 15:09 UTC.
The requested start date was Wednesday, 19 February 2020 at 01:01 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, 12-hour, 53-minute period from Monday, 10 February 2020 at 23:28 UTC to Saturday, 15 February 2020 at 12:22 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:
[210] press,conference [203] cdc,official [203] official,answering [203] answering,question [203] question,whether [203] whether,official [203] official,numbers [203] numbers,accurate [203] accurate,press [202] conference,absolutely Top Word Pairs in Tweet in G1:
[42] #cdc,#cdc7words [42] #cdc7words,#bannedwords [42] #bannedwords,#orwell [42] #orwell,#doubleplusgoodspeak [42] #doubleplusgoodspeak,#maga [42] #maga,#trumphasdementia [25] #cdc,#who [17] #who,#cdc [15] #coronavirus,outbreak [14] #cdc,#coronavirus Top Word Pairs in Tweet in G2:
[188] cdc,official [188] official,answering [188] answering,question [188] question,whether [188] whether,official [188] official,numbers [188] numbers,accurate [188] accurate,press [188] press,conference [187] corona_beerus,cdc Top Word Pairs in Tweet in G3:
[29] helenbranswell,aspeninstitute [24] aspeninstitute,drnancym_cdc [23] drnancym_cdc,ronaldklain [22] drnancym_cdc,drnancym_cdc [21] drtedros,drmikeryan [18] donnayoungdc,#cdc [17] #cdc,suffers [17] suffers,herky [17] herky,jerky [17] jerky,funding Top Word Pairs in Tweet in G4:
[91] #didyouknow,50 [91] 50,granted [91] granted,#vaccine [91] #vaccine,patents [91] patents,#cdc [91] #cdc,listed [91] listed,assignee [89] lotusoak2,#didyouknow [89] assignee,huge [17] epigeneticwhisp,#cdc Top Word Pairs in Tweet in G5:
[29] cdc,national [29] national,contact [29] contact,center [29] center,cdc [29] cdc,info [29] info,plays [29] plays,important [29] important,role [29] role,efforts [29] efforts,provide Top Word Pairs in Tweet in G6:
[140] #chaos,coming [140] coming,start [140] start,#testing [140] #testing,people [140] people,flu [140] flu,symptoms [140] symptoms,#cdc [140] #cdc,roll [140] roll,labs [140] labs,#chicago Top Word Pairs in Tweet in G7:
[123] #china,done [123] done,much [123] much,hinder [123] hinder,epidemiological [123] epidemiological,study [123] study,#coronavirus [123] #coronavirus,including [123] including,blocking [123] blocking,#cdc [123] #cdc,experts Top Word Pairs in Tweet in G8:
[144] usf,professor [144] professor,fairly [144] fairly,easy [144] easy,fix [144] fix,control [144] control,spread [144] spread,coronavirus [144] coronavirus,information [144] information,seem [143] wvufanagent99,usf Top Word Pairs in Tweet in G9:
[43] #wuhanpneumonia,#wuhanlockdown [42] #wuflu,#wuhanpneumonia [38] announces,15th [37] #wuhanlockdown,#wuhancoronavirus [36] secretary,azar [35] 15th,case [33] azar,announces [32] #wuhancoronavirus,#coronaoutbreak [31] #coronaoutbreak,#coronavirus [31] delacruztine,secretary Top Word Pairs in Tweet in G10:
[117] likes,curved [117] curved,bbc [117] bbc,#cdc [117] #cdc,goodnight [117] goodnight,babe [116] handsomedevan,likes Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
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:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
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Top Tweeters in G5:
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Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: