The graph represents a network of 6,880 Twitter users whose tweets in the requested range contained "#CDC", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 23 September 2020 at 09:58 UTC.
The requested start date was Wednesday, 23 September 2020 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 4-day, 11-hour, 30-minute period from Friday, 18 September 2020 at 12:29 UTC to Wednesday, 23 September 2020 at 00:00 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 : 6880
Unique Edges : 6166
Edges With Duplicates : 8938
Total Edges : 15104
Number of Edge Types : 5
Tweet : 2936
Retweet : 3560
MentionsInRetweet : 6343
Replies to : 788
Mentions : 1477
Self-Loops : 3108
Reciprocated Vertex Pair Ratio : 0.00847886610984561
Reciprocated Edge Ratio : 0.016815158740118
Connected Components : 2008
Single-Vertex Connected Components : 1371
Maximum Vertices in a Connected Component : 2899
Maximum Edges in a Connected Component : 8447
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 5.54787
Graph Density : 0.00016837983481915
Modularity : 0.531857
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 6,880 Twitter users whose tweets in the requested range contained "#CDC", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 23 September 2020 at 09:58 UTC.
The requested start date was Wednesday, 23 September 2020 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 4-day, 11-hour, 30-minute period from Friday, 18 September 2020 at 12:29 UTC to Wednesday, 23 September 2020 at 00:00 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 : #CDC
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:
[308] covid,19 [269] forms,transmission [257] edit,time [257] time,forms [244] cdcgov,cdcdirector [226] cdcdirector,secazar [224] kurteichenwald,brianschatz [224] brianschatz,hhsgov [224] hhsgov,cdcgov [223] secazar,edit Top Word Pairs in Tweet in G1:
[85] covid,19 [67] #cdc,#covid19 [46] #covid19,#cdc [43] #cdc,#coronavirus [32] #covid19,#corona [31] wholesale,pricing [29] disease,control [28] guidance,airborne [28] awd,protective [27] protective,gear Top Word Pairs in Tweet in G2:
[267] forms,transmission [255] edit,time [255] time,forms [239] cdcgov,cdcdirector [224] cdcdirector,secazar [222] kurteichenwald,brianschatz [222] brianschatz,hhsgov [222] hhsgov,cdcgov [221] secazar,edit [220] acwzywabit,kurteichenwald Top Word Pairs in Tweet in G3:
[52] corrupt,#cdc [49] potus,play [49] play,trump [49] trump,card [49] card,over [49] over,lying [49] lying,corrupt [49] #cdc,lift [49] lift,#mask [49] #mask,requirements Top Word Pairs in Tweet in G4:
[91] cause,#autism [89] lotusoak2,#cdc [59] contact,alex [59] alex,azar [59] azar,secazar [59] remove,statement [59] #cdc's,website [57] secazar,demand [57] demand,remove [57] statement,#vaccines Top Word Pairs in Tweet in G5:
[142] don,fool [142] fool,yourself [142] yourself,believing [142] believing,#cdc [142] #cdc,#who [142] #who,arent [142] arent,going [142] going,push [142] push,narrative [142] narrative,america Top Word Pairs in Tweet in G6:
[41] cnnbrk,sorry [41] sorry,mistakenly [41] mistakenly,posted [41] posted,accurate [41] accurate,information [41] information,removed [41] removed,#cdc [40] idea2go,cnnbrk [39] white,house [26] don,fooled Top Word Pairs in Tweet in G7:
[61] #healthtech,#cdc [60] #covid19,#covid [53] #covid,#coronavirus [51] #bigdata,#ai [51] #ai,#iot [51] #iot,#tech [48] #coronavirus,#trump [47] #trump,#pence [42] #pence,#biden [37] #biden,#harris Top Word Pairs in Tweet in G8:
[22] cdc,afford [22] afford,confused [22] confused,sensitive [22] sensitive,time [22] time,such [22] such,pandemic [21] pandemic,covid [21] covid,19 [19] 19,airborne [10] airborne,suddenly Top Word Pairs in Tweet in G9:
[5] #covid,19 [4] news,flash [4] flash,director [4] director,general [4] general,drtedros [4] drtedros,opening [4] opening,remarks [4] remarks,media [4] media,briefing [4] briefing,covax Top Word Pairs in Tweet in G10:
[65] haaohaoo,trump [55] trump,loving [55] loving,former [55] former,nashville [55] nashville,council [55] council,member [55] member,#tonytenpenny [55] #tonytenpenny,posted [55] posted,memes [55] memes,attacked Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
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 G5:
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Top Tweeters in G9:
Top Tweeters in G10: