The graph represents a network of 4,995 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, 13 January 2021 at 10:51 UTC.
The requested start date was Wednesday, 13 January 2021 at 01:01 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 13-day, 23-hour, 53-minute period from Wednesday, 30 December 2020 at 01:02 UTC to Wednesday, 13 January 2021 at 00:55 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 : 4995
Unique Edges : 3260
Edges With Duplicates : 6455
Total Edges : 9715
Number of Edge Types : 5
Retweet : 2374
MentionsInRetweet : 2964
Mentions : 1555
Replies to : 559
Tweet : 2263
Self-Loops : 2503
Reciprocated Vertex Pair Ratio : 0.00853714813105676
Reciprocated Edge Ratio : 0.0169297643559826
Connected Components : 1445
Single-Vertex Connected Components : 877
Maximum Vertices in a Connected Component : 1759
Maximum Edges in a Connected Component : 4399
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 6.07894
Graph Density : 0.000175225285357444
Modularity : 0.497455
NodeXL Version : 1.0.1.442
Data Import : The graph represents a network of 4,995 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, 13 January 2021 at 10:51 UTC.
The requested start date was Wednesday, 13 January 2021 at 01:01 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 13-day, 23-hour, 53-minute period from Wednesday, 30 December 2020 at 01:02 UTC to Wednesday, 13 January 2021 at 00:55 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:
[489] covid,19 [281] highest,rate [278] cases,country [207] #coronavirus,#covid19 [167] #rent,#landlord [167] #landlord,#landlords [167] #landlords,#apartmentliving [167] #apartmentliving,#reviewyourlandlordsafestan [167] #reviewyourlandlordsafestan,#coronavirus [167] #covid19,#rentrelief Top Word Pairs in Tweet in G1:
[129] #cdc,#cdc7words [129] #cdc7words,#bannedwords [129] #bannedwords,#orwell [129] #orwell,#doubleplusgoodspeak [129] #doubleplusgoodspeak,#maga [129] #maga,#trumphasdementia [120] covid,19 [86] #covid19,#corona [85] #corona,#quarantine [85] #quarantine,#lockdown Top Word Pairs in Tweet in G2:
[276] highest,rate [275] cases,country [144] #arizona,second [144] rate,#covid19 [144] #covid19,cases [142] stephanieinnes,#arizona [138] second,highest [138] country,#cdc [138] #cdc,based [138] based,data Top Word Pairs in Tweet in G3:
[56] î,î [19] covid,19 [11] #cdc,cdcgov [8] cdcgov,#cdc [8] fix,trump [8] trump,officials [8] officials,interfered [8] interfered,cdcgov's [8] cdcgov's,vital [8] vital,#covid19 Top Word Pairs in Tweet in G4:
[15] china,virus [14] doubt,call [14] call,covid [14] covid,fake [14] fake,news [14] news,realdonaldtrump [14] realdonaldtrump,number [14] number,cases [14] cases,deaths [14] deaths,china Top Word Pairs in Tweet in G5:
[53] #covid19,#vaccines [36] covid,19 [22] cigarette,vaping [20] associated,lung [19] product,use [18] use,associated [17] allergic,reactions [16] 19,vaccine [16] vaping,product [16] lung,injury Top Word Pairs in Tweet in G6:
[9] schools,aren [9] aren,safe [9] safe,districts [9] districts,declare [9] declare,enforce [9] enforce,#cdc [9] #cdc,rules [9] rules,schools [9] schools,students [9] students,lives Top Word Pairs in Tweet in G7:
[18] covid,19 [13] #briannataylor,#justiceforgeorgefloyd [9] #osha,#eeoc [9] #eeoc,#cdc [9] #cdc,#nlrb [8] #nlrb,#labor [8] #fda,#cdc [7] #cdc,order [7] #covid19,#cdc [7] #justiceforgeorgefloyd,#jacobblake Top Word Pairs in Tweet in G8:
[17] covid,survival [17] survival,rates [17] rates,#cdc [17] #cdc,19 [17] 19,99 [17] 99,997 [17] 997,20 [17] 20,49 [17] 49,99 [17] 99,98 Top Word Pairs in Tweet in G9:
[78] ศ,นย [78] นย,ป [78] ป,องก [78] องก,นและควบค [78] นและควบค,มโรคแห [78] มโรคแห,งสหร [78] งสหร,ฐ [78] ฐ,#cdc [78] #cdc,พบว [78] พบว,า Top Word Pairs in Tweet in G10:
[95] coronavirusnewv,ºðÿ [82] estados,unidos [73] ee,uu [70] ºðÿ,estados [47] mã,millones [33] ºðÿ,eeuu [31] covid,19 [28] unidos,cdc [28] cdc,casos [28] casos,siguen Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: