The graph represents a network of 7,913 Twitter users whose tweets in the requested range contained "NCoV", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 26 September 2020 at 11:09 UTC.
The requested start date was Saturday, 26 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 1-day, 22-hour, 1-minute period from Thursday, 24 September 2020 at 01:58 UTC to Saturday, 26 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 : 7913
Unique Edges : 1168
Edges With Duplicates : 14079
Total Edges : 15247
Number of Edge Types : 5
Retweet : 6877
MentionsInRetweet : 7091
Tweet : 418
Replies to : 323
Mentions : 538
Self-Loops : 427
Reciprocated Vertex Pair Ratio : 0.00141497298687934
Reciprocated Edge Ratio : 0.00282594733461785
Connected Components : 409
Single-Vertex Connected Components : 134
Maximum Vertices in a Connected Component : 5193
Maximum Edges in a Connected Component : 10556
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 4.681607
Graph Density : 0.000124345814831336
Modularity : 0.469245
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 7,913 Twitter users whose tweets in the requested range contained "NCoV", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 26 September 2020 at 11:09 UTC.
The requested start date was Saturday, 26 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 1-day, 22-hour, 1-minute period from Thursday, 24 September 2020 at 01:58 UTC to Saturday, 26 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 : NCoV
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:
[3751] 20,49 [3582] survival,rates [3532] updated,survival [3328] 99,997 [3311] 997,20 [3310] 19,99 [3144] rates,infected [3098] last,week [3083] week,updated [3063] govt,last Top Word Pairs in Tweet in G1:
[2835] govt,last [2835] last,week [2835] week,updated [2835] updated,survival [2835] survival,rates [2835] rates,infected [2835] infected,covid19 [2835] covid19,19 [2833] adam_creighton,govt [2833] 19,99 Top Word Pairs in Tweet in G2:
[1295] cdc,declared [1295] declared,federal [1295] federal,ban [1295] ban,evictions [1295] evictions,prevent [1295] prevent,evictions [1295] evictions,tenants [1295] tenants,sign [1295] sign,present [1295] present,following Top Word Pairs in Tweet in G3:
[418] south,dakota [418] dakota,purple [418] purple,usa [418] usa,gray [418] gray,source [418] source,cdc [417] maddow,south [8] dotcomcto,maddow [8] maddow,facts [8] facts,govt Top Word Pairs in Tweet in G4:
[407] survival,rates [406] updated,survival [394] infection,fatality [393] age,group [391] cdc,recently [391] recently,updated [391] updated,estimated [391] estimated,infection [391] fatality,rates [391] rates,covid Top Word Pairs in Tweet in G5:
[383] infection,fatality [383] 20,49 [380] fatality,ratio [373] 19,years [373] years,00003 [373] 00003,20 [373] 49,years [373] years,0002 [373] 0002,50 [373] 50,69 Top Word Pairs in Tweet in G6:
[111] help,protect [107] make,sure [106] protect,yourself [106] yourself,others [105] mask,one [105] one,best [105] best,ways [105] ways,help [105] others,getting [105] getting,#covid19 Top Word Pairs in Tweet in G7:
[173] 19,99 [173] 99,997 [173] 997,20 [173] 20,49 [172] novas,taxas [172] taxas,sobrevivência [172] sobrevivência,covid [172] covid,19 [172] 19,atualizadas [172] atualizadas,pelo Top Word Pairs in Tweet in G8:
[42] covid,19 [15] 20,49 [14] 50,69 [13] 2019,ncov [11] 19,99 [11] 99,997 [11] 49,99 [11] 99,98 [11] 69,99 [10] 997,20 Top Word Pairs in Tweet in G9:
[107] més,persones [99] demà,entra [99] entra,vigor [99] vigor,prohibició [99] prohibició,trobades [99] trobades,reunions [99] reunions,més [99] persones,llevat [99] llevat,siguin [99] siguin,convivents Top Word Pairs in Tweet in G10:
[2] emsops,gram247 [2] gram247,d1017baby [2] d1017baby,lor_blueeyes [2] lor_blueeyes,lastplace_champ [2] lastplace_champ,vilvnv [2] vilvnv,tomdoubting [2] tomdoubting,shartaldtrump [2] shartaldtrump,ic_lib [2] ic_lib,grampazachary Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G6:
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: