The graph represents a network of 7,072 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, 07 October 2022 at 19:58 UTC.
The requested start date was Friday, 07 October 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, 7-hour, 58-minute period from Monday, 03 October 2022 at 21:07 UTC to Thursday, 06 October 2022 at 05:05 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 : 7072
Unique Edges : 10323
Edges With Duplicates : 15876
Total Edges : 26199
Number of Edge Types : 5
Replies to : 2873
Mentions : 8586
Retweet : 4278
MentionsInRetweet : 10429
Tweet : 33
Self-Loops : 74
Reciprocated Vertex Pair Ratio : 0.0138984107198504
Reciprocated Edge Ratio : 0.027415785591345
Connected Components : 2
Single-Vertex Connected Components : 1
Maximum Vertices in a Connected Component : 7071
Maximum Edges in a Connected Component : 26197
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 2.642662
Graph Density : 0.000325320232854736
Modularity : 0.430654
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 7,072 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, 07 October 2022 at 19:58 UTC.
The requested start date was Friday, 07 October 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, 7-hour, 58-minute period from Monday, 03 October 2022 at 21:07 UTC to Thursday, 06 October 2022 at 05:05 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:
[610] fewer,countries [609] flying,blind [607] health,notices [606] travel,health [604] country,travel [604] notices,fewer [603] blind,cdcgov [603] cdcgov,announced [603] announced,ended [603] ended,#covid19 Top Word Pairs in Tweet in G1:
[582] fewer,countries [580] flying,blind [578] health,notices [577] country,travel [577] travel,health [577] notices,fewer [576] blind,cdcgov [576] cdcgov,announced [576] announced,ended [576] ended,#covid19 Top Word Pairs in Tweet in G2:
[137] cdcgov,cdcdirector [74] cdcdirector,whcovidresponse [66] potus,cdcgov [66] whcovidresponse,nih [65] nih,niaidnews [58] pandemic,over [56] held,accountable [53] one,held [53] accountable,atrocities [53] atrocities,committed Top Word Pairs in Tweet in G3:
[456] reroot_flyover,cdcgov [233] cdcgov,average [231] 40,waist [230] 200,lbs [226] men,women [226] men,200 [226] lbs,40 [225] average,sizes [225] sizes,american [225] american,men Top Word Pairs in Tweet in G4:
[207] #covid19,vaccine [198] hundreds,thousands [198] thousands,americans [198] americans,sought [198] sought,medical [198] medical,care [198] care,getting [198] getting,#covid19 [198] vaccine,according [198] data,released Top Word Pairs in Tweet in G5:
[324] global_states,govrondesantis [324] govrondesantis,marcorubio [321] oldword16,global_states [248] marcorubio,heartbreaking [248] heartbreaking,makes [248] makes,angry [248] angry,know [248] know,women [248] women,suffering [247] suffering,devastat Top Word Pairs in Tweet in G6:
[252] ajlamesa,cdcgov [200] cdcgov,directly [200] directly,responsible [200] responsible,extreme [200] extreme,toddler [200] toddler,mask [200] mask,guidance [200] guidance,think [200] think,information [200] information,public Top Word Pairs in Tweet in G7:
[26] avoid,flood [26] flood,water [26] water,possible [26] possible,contain [26] contain,many [26] many,hazards [26] hazards,such [26] such,downed [26] downed,power [26] power,lines Top Word Pairs in Tweet in G8:
[151] #ebola,outbreak [151] outbreak,uganda [151] uganda,declared [151] declared,weeks [151] weeks,ago [151] ago,already [151] already,12th [151] 12th,largest [151] largest,record [151] record,there've Top Word Pairs in Tweet in G9:
[5] riddle,day [4] day,tell [4] tell,bob [4] bob,evans [4] evans,ground [4] ground,hog [4] hog,day [3] #california,doctors [3] doctors,surveyed [3] surveyed,indicated Top Word Pairs in Tweet in G10:
[9] flu,season [8] #influenza,vaccine [8] 2022,2023 [7] need,cdcgov [7] cdcgov,deahq [7] deahq,way [7] way,doctors [7] doctors,patients [7] patients,america [7] america,actively Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G8:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: