The graph represents a network of 4,847 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 Saturday, 07 December 2019 at 15:48 UTC.
The requested start date was Saturday, 07 December 2019 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 3-day, 5-hour, 39-minute period from Wednesday, 27 November 2019 at 02:38 UTC to Saturday, 30 November 2019 at 08:18 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 : 4847
Unique Edges : 9560
Edges With Duplicates : 6202
Total Edges : 15762
Number of Edge Types : 3
Mentions : 14559
Replies to : 1078
Tweet : 125
Self-Loops : 125
Reciprocated Vertex Pair Ratio : 0.0217196996782267
Reciprocated Edge Ratio : 0.0425159653573616
Connected Components : 19
Single-Vertex Connected Components : 16
Maximum Vertices in a Connected Component : 4827
Maximum Edges in a Connected Component : 15740
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 2.740546
Graph Density : 0.000486662401895867
Modularity : 0.5048
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 4,847 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 Saturday, 07 December 2019 at 15:48 UTC.
The requested start date was Saturday, 07 December 2019 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 3-day, 5-hour, 39-minute period from Wednesday, 27 November 2019 at 02:38 UTC to Saturday, 30 November 2019 at 08:18 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:
[721] abortion,rate [718] breaking,cdcgov [718] cdcgov,data [718] data,shows [718] shows,abortion [718] rate,fallen [718] fallen,50 [718] 50,1980 [718] 1980,fallen [718] fallen,26 Top Word Pairs in Tweet in G1:
[721] abortion,rate [718] breaking,cdcgov [718] cdcgov,data [718] data,shows [718] shows,abortion [718] rate,fallen [718] fallen,50 [718] 50,1980 [718] 1980,fallen [718] fallen,26 Top Word Pairs in Tweet in G2:
[90] fdatobacco,cdcgov [87] ethannadelmann,cdcgov [82] #vitamine,acetate [82] acetate,oil [82] #thc,#vape [81] cdcgov,released [81] released,another [81] another,study [81] study,pointing [81] pointing,#vitamine Top Word Pairs in Tweet in G3:
[20] cdcgov,hhsgov [20] hhsgov,us_fda [20] us_fda,who_europe [10] silvaneves3,kaydengrayxxx [10] kaydengrayxxx,thejasondomino [10] thejasondomino,bexdehavilland [10] bexdehavilland,greg0wen [10] greg0wen,idiosyncraticxl [10] idiosyncraticxl,davidastuart [10] risettemd,cdcgov Top Word Pairs in Tweet in G4:
[86] hillaryclinton,cdcgov [85] vernonandrewj,hillaryclinton [36] cdcgov,fda [36] fda,published [36] published,article [36] article,admitting [36] admitting,cells [36] cells,used [36] used,manufacturing [36] manufacturing,numerous Top Word Pairs in Tweet in G5:
[19] drug,resistant [17] drpappasid,andreaprinzi [17] andreaprinzi,ahmed_hbabiker [17] ahmed_hbabiker,richdavisphd [17] richdavisphd,colleenkraftmd [16] colleenkraftmd,cdcgov [16] tis,season [16] season,12 [16] 12,stewards [16] stewards,fuming Top Word Pairs in Tweet in G6:
[26] #prepyourhealth,#thanksgiving [21] first,aid [21] aid,kit [21] cuts,burns [20] ways,protect [20] protect,#prepyourhealth [20] #thanksgiving,keep [20] keep,first [20] kit,handy [20] handy,treat Top Word Pairs in Tweet in G7:
[10] abc,cdcgov [8] cdcgov,epa [7] theagu,cdcgov [7] epa,niosh [7] niosh,us_fda [7] us_fda,fema [6] sdfashionista3,abc [6] agugeohealth,theagu [5] thomasklinemd,youtube [5] youtube,billcassidy Top Word Pairs in Tweet in G8:
[49] ortainedevian,texasdeplorabl4 [49] texasdeplorabl4,hb04920973 [49] hb04920973,taniaburgesstx [49] taniaburgesstx,fashionabanon [49] fashionabanon,pweepingangel [49] pweepingangel,cummings2020 [43] raeanon,ortainedevian [40] phoenixxrizen,raeanon [40] cummings2020,kalanu [9] cummings2020,kalanuraven Top Word Pairs in Tweet in G9:
[12] unfpa,cdcgov [12] cdcgov,clintonhealth [11] nacanigeria,unaids [11] unaids,futureassured [11] futureassured,unfpa [11] #dailybreakfact,many [11] many,diseases [11] diseases,illnesses [11] illnesses,completely [11] completely,deficient Top Word Pairs in Tweet in G10:
[26] bylenasun,sciencebasedmed [26] sciencebasedmed,scienceblogs [26] scienceblogs,samoa_observer [25] cdcgov,hhsgov [23] vickyy_82,cdcgov [22] samoa_observer,thereal_truther [19] isnoinews,bylenasun [15] ultioetveritas,vickyy_82 [14] news,usaid [14] usaid,providing 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: