The graph represents a network of 6,988 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, 10 June 2022 at 19:58 UTC.
The requested start date was Friday, 10 June 2022 at 00:01 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, 0-hour, 7-minute period from Tuesday, 07 June 2022 at 23:49 UTC to Thursday, 09 June 2022 at 23:56 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 : 6988
Unique Edges : 9040
Edges With Duplicates : 17277
Total Edges : 26317
Number of Edge Types : 5
Retweet : 4570
MentionsInRetweet : 9464
Mentions : 9677
Replies to : 2551
Tweet : 55
Self-Loops : 93
Reciprocated Vertex Pair Ratio : 0.0142280593747862
Reciprocated Edge Ratio : 0.0280569231806839
Connected Components : 3
Single-Vertex Connected Components : 2
Maximum Vertices in a Connected Component : 6986
Maximum Edges in a Connected Component : 26315
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 2.697636
Graph Density : 0.000303675425020659
Modularity : 0.370364
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 6,988 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, 10 June 2022 at 19:58 UTC.
The requested start date was Friday, 10 June 2022 at 00:01 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, 0-hour, 7-minute period from Tuesday, 07 June 2022 at 23:49 UTC to Thursday, 09 June 2022 at 23:56 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:
[901] travel,advisory [808] holy,mother [807] mother,hell [807] cdcgov,recently [806] advisory,#monkeypox [805] hell,hell [805] hell,muzzling [805] muzzling,shit [805] shit,cdcgov [805] recently,cdc Top Word Pairs in Tweet in G1:
[733] travel,advisory [715] holy,mother [714] mother,hell [714] cdcgov,recently [713] advisory,#monkeypox [712] hell,hell [712] hell,muzzling [712] muzzling,shit [712] shit,cdcgov [712] recently,cdc Top Word Pairs in Tweet in G2:
[60] us_fda,cdcgov [53] covid,19 [45] cdcgov,cdcdirector [34] bivalent,booster [33] regarding,moderna [33] moderna,omicron [33] omicron,containing [33] containing,bivalent [33] booster,give [33] give,one Top Word Pairs in Tweet in G3:
[447] cdcgov,cdcdirector [337] cdcdirector,cdcgov [266] drericding,cdcgov [248] g_commish,cdcdirector [248] cdcgov,provistadx [218] provistadx,jneill [175] cdcgov,cdcmmwr [143] travel,advisory [125] cyclowarrior,g_commish [80] meetshawnt,g_commish Top Word Pairs in Tweet in G4:
[210] don,understand [209] expect,people [209] people,accurately [209] accurately,assess [209] assess,covid [209] covid,risk [209] risk,don [209] understand,such [209] such,basic [209] basic,information Top Word Pairs in Tweet in G5:
[8] amermedicalassn,cdcgov [7] aapsonline,cdcgov [7] dr,bothra [7] bothra,defense [7] defense,attorney [7] attorney,arthur [7] arthur,weiss [7] weiss,read [7] read,amermedicalassn [7] amermedicalassn,position Top Word Pairs in Tweet in G6:
[40] think,irresponsible [40] irresponsible,report [40] report,#monkeypox [40] #monkeypox,transmitted [40] transmitted,aerosols [40] aerosols,similar [40] similar,coronavirus [39] lizhighleyman,think [24] cdcdirector,dr_demetre [23] lizhighleyman,cdcgov Top Word Pairs in Tweet in G7:
[9] ex,murderer [9] murderer,chief [9] chief,yale [9] yale,scholars [9] scholars,conclude [9] conclude,pathological [9] pathological,leader [9] leader,anti [9] anti,human [9] human,tendencies Top Word Pairs in Tweet in G8:
[52] drjayvarma,cdcgov [38] cdcgov,#monkeypox [38] master,class [37] #monkeypox,guidance [37] guidance,social [37] social,sexual [37] sexual,gatherings [37] gatherings,master [37] class,harm [37] harm,reduction Top Word Pairs in Tweet in G9:
[52] overzealous,pressure [52] pressure,privilege [52] privilege,prolonged [52] prolonged,pandemic [52] pandemic,put [52] put,vulnerable [52] vulnerable,populations [52] populations,risk [51] ebonyjhilton_md,overzealous [6] cdcgov,guidance Top Word Pairs in Tweet in G10:
[7] four,big [7] big,reports [7] reports,released [7] released,very [7] very,much [7] much,worth [7] worth,reviewing [7] reviewing,well [7] well,done [7] done,colleagues Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: