The graph represents a network of 7,872 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, 20 November 2020 at 21:46 UTC.
The requested start date was Friday, 20 November 2020 at 01:01 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 2-day, 6-hour, 1-minute period from Tuesday, 17 November 2020 at 18:58 UTC to Friday, 20 November 2020 at 01:00 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 : 7872
Unique Edges : 8983
Edges With Duplicates : 15296
Total Edges : 24279
Number of Edge Types : 5
Replies to : 2473
Mentions : 9732
Retweet : 4352
MentionsInRetweet : 7662
Tweet : 60
Self-Loops : 102
Reciprocated Vertex Pair Ratio : 0.0138381567856139
Reciprocated Edge Ratio : 0.0272985519296058
Connected Components : 2
Single-Vertex Connected Components : 1
Maximum Vertices in a Connected Component : 7871
Maximum Edges in a Connected Component : 24278
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 2.66232
Graph Density : 0.000232938681978612
Modularity : 0.398954
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 7,872 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, 20 November 2020 at 21:46 UTC.
The requested start date was Friday, 20 November 2020 at 01:01 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 2-day, 6-hour, 1-minute period from Tuesday, 17 November 2020 at 18:58 UTC to Friday, 20 November 2020 at 01:00 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:
[1012] #covid19,cases [610] cases,rising [525] wearing,mask [518] tomfitton,cdcgov [448] mask,wearing [439] cdcgov,obligation [439] obligation,withdraw [439] withdraw,mask [439] wearing,advice [438] advice,realdonldtrump Top Word Pairs in Tweet in G1:
[801] #covid19,cases [555] cases,rising [435] wearing,mask [353] cdcgov,#covid19 [344] slow,spread [338] cdcgov,wearing [333] part,slow [332] rising,fast [332] breathing,ventilator [331] mask,hard Top Word Pairs in Tweet in G2:
[149] #trump,refuses [149] refuses,concede [99] lives,lost [99] lost,#trump [99] concede,therefore [99] therefore,blocking [99] blocking,appropriate [99] appropriate,transition [99] transition,imperiling [98] laurie_garrett,lives Top Word Pairs in Tweet in G3:
[509] tomfitton,cdcgov [439] mask,wearing [438] cdcgov,obligation [438] obligation,withdraw [438] withdraw,mask [438] wearing,advice [437] advice,realdonldtrump [437] realdonldtrump,#science [75] cdcgov,realdonldtrump [7] trendy2chic,dniner Top Word Pairs in Tweet in G4:
[268] hhsgov,cdcgov [193] fought,hhsgov [193] cdcgov,release [193] release,racial [193] racial,demographic [193] demographic,data [193] data,show [193] show,communities [193] communities,color [193] color,hit Top Word Pairs in Tweet in G5:
[120] months,months [60] pssst,cdcgov [60] cdcgov,doing [60] doing,first [60] first,media [60] media,briefing [60] briefing,tomorrow [60] tomorrow,months [60] months,wait [59] apoorva_nyc,pssst Top Word Pairs in Tweet in G6:
[150] #covid19,cases [134] urgent,alert [132] alert,cdcgov [132] cdcgov,urges [132] urges,take [132] take,action [132] action,fight [132] fight,rapidly [132] rapidly,rising [132] rising,#covid19 Top Word Pairs in Tweet in G7:
[45] cdcgov,pahealthdept [13] peggyharper,cdcgov [11] pipergreenleaf,cdcgov [10] wearing,mask [9] vtd_edge90,cdcgov [9] james_k_johnson,cdcgov [8] ffbuckr,peggyharper [8] mental,health [7] jd_vandy1,cdcgov [7] hinsuke,cdcgov Top Word Pairs in Tweet in G8:
[121] high,incidence [108] govmikedewine,cdcgov [64] single,county [59] level,set [58] county,ohio [58] ohio,high [58] incidence,#covid19 [58] #covid19,county [58] county,2x [58] 2x,high Top Word Pairs in Tweet in G9:
[26] #covid19,#realtimecovid19 [25] cdcgov,#covid19 [18] first,cdcgov [18] #covid19,briefing [18] briefing,forever [18] forever,incident [18] incident,manager [18] manager,henry [18] henry,walke [18] walke,agency Top Word Pairs in Tweet in G10:
[4] covid,19 [3] implementation,antibiotic [3] antibiotic,stewardship [3] stewardship,activities [3] #austin,senior [3] senior,living [3] living,community [3] community,first [3] first,enroll [3] enroll,cdcgov 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: