The graph represents a network of 4,991 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 Monday, 16 March 2020 at 02:54 UTC.
The requested start date was Monday, 16 March 2020 at 02:53 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 1-day, 2-hour, 49-minute period from Sunday, 15 March 2020 at 00:03 UTC to Monday, 16 March 2020 at 02:53 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 : 4991
Unique Edges : 5155
Edges With Duplicates : 1237
Total Edges : 6392
Number of Edge Types : 4
MentionsInRetweet : 2998
Tweet : 1875
Replies to : 558
Mentions : 961
Self-Loops : 1875
Reciprocated Vertex Pair Ratio : 0.0019356399709654
Reciprocated Edge Ratio : 0.00386380101424777
Connected Components : 1505
Single-Vertex Connected Components : 1048
Maximum Vertices in a Connected Component : 2313
Maximum Edges in a Connected Component : 3337
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 5.995347
Graph Density : 0.000166271232105566
Modularity : 0.70603
NodeXL Version : 1.0.1.427
Data Import : The graph represents a network of 4,991 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 Monday, 16 March 2020 at 02:54 UTC.
The requested start date was Monday, 16 March 2020 at 02:53 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 1-day, 2-hour, 49-minute period from Sunday, 15 March 2020 at 00:03 UTC to Monday, 16 March 2020 at 02:53 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:
[628] budget,cuts [625] #cdc,budget [621] put,weakened [621] weakened,vulnerable [621] vulnerable,position [621] position,continual [621] continual,#cdc [620] #canceltrump,cancellation [620] cancellation,needed [620] needed,put Top Word Pairs in Tweet in G1:
[86] 50,people [50] #cdc,recommends [38] 50,more [37] covid,19 [35] next,weeks [35] people,next [31] more,people [30] events,50 [29] #cdc,#coronavirus [28] eight,weeks Top Word Pairs in Tweet in G2:
[612] #cdc,budget [611] put,weakened [611] weakened,vulnerable [611] vulnerable,position [611] position,continual [611] continual,#cdc [610] #canceltrump,cancellation [610] cancellation,needed [610] needed,put [610] budget,cuts Top Word Pairs in Tweet in G3:
[349] épidémie,#coronavirus [349] #coronavirus,aucune [349] aucune,étude [349] étude,sérieuse [349] sérieuse,permet [349] permet,démontrer [349] démontrer,#virus [349] #virus,résiste [349] résiste,chaleur [348] conflits_fr,épidémie Top Word Pairs in Tweet in G4:
[45] literally,dismantled [45] dismantled,defunded [45] defunded,nations [45] nations,pandemic [40] trump,literally [37] pandemic,experts [34] realdonaldtrump,trump [33] gtconway3d,realdonaldtrump [32] isawthesethings,gtconway3d [32] experts,inf Top Word Pairs in Tweet in G5:
[23] #coronavirus,#covid19 [19] #coronaoutbreak,#coronavirus [19] #covid19,#covid_19 [19] #covid_19,#cdc [19] #cdc,#covid2019 [15] #covid2019,#coronavirusupdate [14] #coronavirusupdate,#coronaviruspandemic [13] #cdc,cdcgov [12] realdonaldtrump,cdcgov [10] ptvph,cnn Top Word Pairs in Tweet in G6:
[182] robert,redfield [180] #influenza,deaths [180] deaths,actually [180] actually,infected [180] infected,#covid [180] #covid,19 [180] 19,robert [180] redfield,#cdc [180] #cdc,admitted [180] admitted,house Top Word Pairs in Tweet in G7:
[88] vaccines,cause [67] cause,autism [44] people,calling [44] calling,#cdc [44] #cdc,lying [44] lying,studied [44] studied,exhaustively [44] exhaustively,science [43] us4mf,people [43] science,settled Top Word Pairs in Tweet in G8:
[85] delayed,action [74] #trump,delayed [72] reason,#trump [57] #who,#cdc [51] use,testing [50] #cdc,use [46] action,#coronavirus [42] #coronavirus,testing [42] testing,kits [30] action,#who Top Word Pairs in Tweet in G9:
[41] unbelievable,first [41] first,told [41] told,flu [41] flu,shot [41] shot,prevent [41] prevent,getting [41] getting,coronavirus [41] coronavirus,see [41] see,folks [41] folks,#science Top Word Pairs in Tweet in G10:
[54] current,cdc [54] cdc,vaccine [53] vaccine,schedule [53] schedule,cause [52] cause,autism [30] #cdc,produce [30] produce,data [30] data,prove [30] prove,current [27] donaldjtrumpjr,#cdc Top Replied-To in Entire Graph:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: