The graph represents a network of 5,687 Twitter users whose tweets in the requested range contained "@CDCgov OR @CDC_eHealth OR @CDCemergency", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 31 July 2020 at 20:48 UTC.
The requested start date was Friday, 31 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 1-day, 7-hour, 22-minute period from Tuesday, 28 July 2020 at 23:13 UTC to Thursday, 30 July 2020 at 06:36 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 : 5687
Unique Edges : 8553
Edges With Duplicates : 14521
Total Edges : 23074
Number of Edge Types : 5
Retweet : 3034
MentionsInRetweet : 7599
Mentions : 10790
Replies to : 1592
Tweet : 59
Self-Loops : 155
Reciprocated Vertex Pair Ratio : 0.00946125576667449
Reciprocated Edge Ratio : 0.0187451587916344
Connected Components : 2
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 5685
Maximum Edges in a Connected Component : 23071
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 2.8177
Graph Density : 0.000399241941296776
Modularity : 0.372819
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 5,687 Twitter users whose tweets in the requested range contained "@CDCgov OR @CDC_eHealth OR @CDCemergency", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 31 July 2020 at 20:48 UTC.
The requested start date was Friday, 31 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 1-day, 7-hour, 22-minute period from Tuesday, 28 July 2020 at 23:13 UTC to Thursday, 30 July 2020 at 06:36 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 : @CDCgov OR @CDC_eHealth OR @CDCemergency
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:
[527] #covid19,data [352] america's,#covid19 [352] data,remains [352] remains,horribly [352] horribly,screwed [352] screwed,#trump [352] #trump,admin [352] admin,stripped [352] stripped,responsibility [352] responsibility,cdcgov Top Word Pairs in Tweet in G1:
[175] number,#covid19 [166] wear,mask [165] 000,contacts [165] #covid19,cases [164] recently,cdcgov [164] cdcgov,reviewed [164] reviewed,huge [164] huge,tracing [164] tracing,study [164] study,gt Top Word Pairs in Tweet in G2:
[508] #covid19,data [346] america's,#covid19 [346] data,remains [346] remains,horribly [346] horribly,screwed [346] screwed,#trump [346] #trump,admin [346] admin,stripped [346] stripped,responsibility [346] responsibility,cdcgov Top Word Pairs in Tweet in G3:
[153] gop,thedemocrats [149] realdonaldtrump,melaniatrump [149] melaniatrump,gop [149] thedemocrats,rihanna [149] rihanna,taylorswift13 [149] taylorswift13,yorkiebea [149] yorkiebea,sarahtheduchess [149] sarahtheduchess,kanyewest [149] kanyewest,s_c_ [149] s_c_,beyonce Top Word Pairs in Tweet in G4:
[134] cdcdirector,cdcgov [63] cloth,face [59] face,covering [53] spread,#covid19 [50] back,school [48] teachers,staff [47] cdcgov,koacolorado [46] kids,teachers [46] staff,going [46] going,back Top Word Pairs in Tweet in G5:
[40] cdcgov,nih [30] those,became [30] became,ill [30] ill,#mecfs [30] #mecfs,outbreaks [30] outbreaks,sporadic [30] sporadic,cases [30] cases,knew [30] knew,#longcovid [30] #longcovid,coming Top Word Pairs in Tweet in G6:
[147] us_fda,stevefda [147] stevefda,cdcgov [146] cdcgov,dhsgov [89] god,bless [88] realdonaldtrump,put [88] put,use [88] use,immediately [88] immediately,people [88] people,dying [88] dying,move Top Word Pairs in Tweet in G7:
[66] screening,tool [64] #covid19,exposure [63] concerned,possible [63] possible,#covid19 [63] exposure,symptoms [63] symptoms,check [63] check,apple [63] apple,screening [63] tool,developed [62] surgeon_general,concerned Top Word Pairs in Tweet in G8:
[20] americans,need [20] need,know [20] know,cdc's [20] cdc's,guidelines [20] guidelines,reopening [20] reopening,schools [20] schools,based [20] based,science [20] science,politics [20] politics,repandylevin Top Word Pairs in Tweet in G9:
[39] us_fda,cdcgov [33] usda,us_fda [32] vaccineuk,bbchealth [32] bbchealth,usda [30] mrlepus,vaccineuk [18] big,pharma [18] docmom_tx,cdcgov [18] youareafartbag,mrlepus [11] gnobreakthrough,cdcgov [11] gnobreakthrough,youareafartbag Top Word Pairs in Tweet in G10:
[9] golferguy1202,mwhiteburgh [9] mwhiteburgh,pittdugan [9] pittdugan,kevinreitmeyer [9] kevinreitmeyer,piaa [9] piaa,cdcgov [5] going,keep [5] keep,adding [5] adding,nicholsforidaho [5] nicholsforidaho,thread [5] thread,today 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 G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: