The graph represents a network of 5,078 Twitter users whose recent tweets contained "@CDCgov OR @CDC_eHealth OR @CDCemergency", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 2/2/2023 5:00:34 PM. The network was obtained from Twitter on Friday, 03 February 2023 at 20:58 UTC.
The tweets in the network were tweeted over the 1942-day, 9-hour, 32-minute period from Monday, 09 October 2017 at 15:27 UTC to Friday, 03 February 2023 at 00:59 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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 : 5078
Unique Edges : 7128
Edges With Duplicates : 25361
Total Edges : 32489
Number of Edge Types : 9
Retweet : 2445
MentionsInRetweet : 6842
Replies to : 2335
MentionsInReplyTo : 15516
Mentions : 1506
MentionsInQuote : 1012
Quote : 301
Tweet : 261
MentionsInQuoteReply : 2271
Self-Loops : 579
Reciprocated Vertex Pair Ratio : 0.0217965653896962
Reciprocated Edge Ratio : 0.0426632191338074
Connected Components : 4
Single-Vertex Connected Components : 3
Maximum Vertices in a Connected Component : 5075
Maximum Edges in a Connected Component : 32486
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.694705
Graph Density : 0.000480043331125248
Modularity : 0.280313
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 5,078 Twitter users whose recent tweets contained "@CDCgov OR @CDC_eHealth OR @CDCemergency", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 2/2/2023 5:00:34 PM. The network was obtained from Twitter on Friday, 03 February 2023 at 20:58 UTC.
The tweets in the network were tweeted over the 1942-day, 9-hour, 32-minute period from Monday, 09 October 2017 at 15:27 UTC to Friday, 03 February 2023 at 00:59 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
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:
[340] cdcgov,lies [333] dead,trying [331] doesn,lie [331] lies,numbers [331] math,doesn [331] truth,dead [331] lies,cdcgov [331] lies,pfizer [331] numbers,truth [331] lie,government Top Word Pairs in Tweet in G1:
[217] cdcgov,cdc [206] drug,resistant [203] extensively,drug [199] outbreak,extensively [194] resistant,pseudomonas [193] pseudomonas,aeruginosa [192] health,alert [191] health,advisory [190] alert,network [190] advisory,outbreak Top Word Pairs in Tweet in G2:
[330] cdcgov,lies [329] dead,trying [327] math,doesn [327] numbers,truth [327] lie,government [327] doesn,lie [327] pfizer,lies [327] lies,numbers [327] truth,dead [327] lies,pfizer Top Word Pairs in Tweet in G3:
[116] nejm,aso [116] ago,refused [116] tracybethhoeg,nejm [116] long,time [116] data,journal [116] knew,better [116] aso,cdcgov [116] cdcgov,knew [116] time,ago [116] better,long Top Word Pairs in Tweet in G4:
[82] cochrane,review [81] masking,published [81] published,cochrane [81] transmission,covid [81] community,masking [81] widely,used [81] reduction,transmission [81] flu,community [81] review,widely [81] covid,flu Top Word Pairs in Tweet in G5:
[19] molegdems,mosendems [10] markpedroli,mizzoulaw [10] molawyersmedia,kgilsinan [10] mizzoulaw,molegdems [10] pdbeth,nettaaaaaaaa [10] chuckhatfield,s_webber [10] maddow,tishaura [10] mogov,covidoversight [10] hawleymo,eric_schmitt [10] mattfranck,gregstohr Top Word Pairs in Tweet in G6:
[295] ravi1236541,debateonfacts [279] michael94173566,merlin_saint [260] debateonfacts,umfpt [258] voteswitcher,ravi1236541 [256] merlin_saint,voteswitcher [254] marsnao,tdillon06 [249] umfpt,marsnao [228] skullapple27,dray3time [228] mjoyce1950,cha0te [228] cha0te,skullapple27 Top Word Pairs in Tweet in G7:
[95] housegop,speakermccarthy [94] leadermcconnell,housegop [94] senategop,leadermcconnell [94] annabanana10010,senategop [94] joebell,annabanana10010 [93] bstevewhite,joebell [63] speakermccarthy,consequences [62] consequences,bir [31] speakermccarthy,cdcgov [2] dangerous,health Top Word Pairs in Tweet in G8:
[11] cause,death [11] according,ameracadpeds [11] firearms,leading [11] ameracadpeds,cdcgov [11] leading,cause [11] teens,under [11] cdcgov,firearms [11] death,children [11] children,teens [10] double,down Top Word Pairs in Tweet in G9:
[14] cdcgov,cdcdirector [10] aspca,avmavets [10] avmavets,cdcgov [8] shot,aspca [8] feeding,man [8] man,shot [8] officers,arrived [8] dog,feeding [8] arrived,dog [7] cdcdirector,wha Top Word Pairs in Tweet in G10:
[5] cdcgov,cdcemergency [5] pierrekory,covid19critical [5] icmrdelhi,cdsco_india_inf [5] drtakomd,pierrekory [5] covid19critical,bretweinstein [5] dr_rajan_ima,cdcgov [5] mohfw_india,ima_news [5] imajdnnational,#ima [5] anju_sharma_ind,cnn [5] cdcemergency,imajdnnational 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: