The graph represents a network of 6,977 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, 16 September 2020 at 09:54 UTC.
The requested start date was Wednesday, 16 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 6-day, 11-hour, 35-minute period from Wednesday, 09 September 2020 at 12:22 UTC to Tuesday, 15 September 2020 at 23:57 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 : 6977
Unique Edges : 3426
Edges With Duplicates : 10655
Total Edges : 14081
Number of Edge Types : 5
Retweet : 4445
MentionsInRetweet : 5309
Tweet : 2234
Replies to : 651
Mentions : 1442
Self-Loops : 2392
Reciprocated Vertex Pair Ratio : 0.00442477876106195
Reciprocated Edge Ratio : 0.00881057268722467
Connected Components : 1303
Single-Vertex Connected Components : 808
Maximum Vertices in a Connected Component : 4180
Maximum Edges in a Connected Component : 9396
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 6.51776
Graph Density : 0.0001399174614362
Modularity : 0.498609
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 6,977 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, 16 September 2020 at 09:54 UTC.
The requested start date was Wednesday, 16 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 6-day, 11-hour, 35-minute period from Wednesday, 09 September 2020 at 12:22 UTC to Tuesday, 15 September 2020 at 23:57 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:
[1188] dr,fauci [1183] fauci,#cdc [1177] #cdc,confirme [1177] l'oms,asymptomatiques [1177] asymptomatiques,transmettent [1176] confirme,après [1176] après,l'oms [1176] transmettent,virus [1175] virus,donc [1168] donc,besoin Top Word Pairs in Tweet in G1:
[1154] dr,fauci [1154] fauci,#cdc [1148] #cdc,confirme [1148] l'oms,asymptomatiques [1148] asymptomatiques,transmettent [1147] confirme,après [1147] après,l'oms [1147] transmettent,virus [1146] alexis_cossette,dr [1146] virus,donc Top Word Pairs in Tweet in G2:
[77] covid,19 [76] oh,mao [76] mao,god [65] god,aka [65] aka,#omg [60] #covid19,#corona [57] wholesale,pricing [55] #coronavirus,#covid19 [52] awd,protective [52] protective,gear Top Word Pairs in Tweet in G3:
[21] #msnbc,#foxnews [20] #cdc,updated [19] #potus,gave [19] gave,#righttotry [19] #righttotry,potus [19] potus,gave [19] gave,#hcq4prevention [18] #foxnews,#nytimes [18] #hcq4prevention,#cdc [18] updated,#covid Top Word Pairs in Tweet in G4:
[100] lotusoak2,#cdc [59] horse's,mouth [53] doctors,getting [53] getting,fed [53] fed,#cdc [53] #cdc,fraud [53] fraud,over [53] over,#vaccines [53] #vaccines,#vaxxed [53] #vaxxed,#cdctruth Top Word Pairs in Tweet in G5:
[159] trump,officials [159] officials,interfering [159] interfering,cdcgov's [159] cdcgov's,vital [159] vital,#covid19 [159] #covid19,reports [159] reports,read [159] read,#smartdissent [144] #smartdissent,#cdc [128] smartdissent,trump Top Word Pairs in Tweet in G6:
[246] according,#cdc [246] leading,cause [132] terrifying,bloodshed [132] bloodshed,urban [132] urban,body [132] body,count [132] count,labor [132] labor,day [132] day,weekend [132] weekend,according Top Word Pairs in Tweet in G7:
[29] #nih,#cdc [23] one,note [23] note,#nih [23] #cdc,knew [23] knew,#coronavirus [23] #coronavirus,weeks [23] weeks,before [23] before,white [23] white,house [23] house,discussed Top Word Pairs in Tweet in G8:
[161] months,#covid [161] #covid,nearly [161] nearly,fully [161] fully,open [161] open,entire [161] entire,time [161] time,thousands [161] thousands,thousands [161] thousands,patient [161] patient,interactions Top Word Pairs in Tweet in G9:
[194] ties,russia [130] #cdc,reports [129] reports,covid [116] covid,19 [115] interfered,#cdc [97] republican,ties [97] russia,again [97] again,federal [97] federal,official [97] official,interfered Top Word Pairs in Tweet in G10:
[135] #cdc,longer [135] longer,calling [135] calling,#covid19 [135] #covid19,pandemic [135] pandemic,downgraded [135] downgraded,outbreak [135] outbreak,#openamericanow [134] trusttheplan_,#cdc Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: