The graph represents a network of 406 Twitter users whose recent tweets contained "who, safety measures, covid", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Monday, 22 June 2020 at 16:15 UTC.
The tweets in the network were tweeted over the 8-day, 1-hour, 36-minute period from Sunday, 14 June 2020 at 14:37 UTC to Monday, 22 June 2020 at 16:13 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.
Vertices : 406
Unique Edges : 447
Edges With Duplicates : 26
Total Edges : 473
Self-Loops : 68
Reciprocated Vertex Pair Ratio : 0.0051150895140665
Reciprocated Edge Ratio : 0.0101781170483461
Connected Components : 106
Single-Vertex Connected Components : 34
Maximum Vertices in a Connected Component : 31
Maximum Edges in a Connected Component : 75
Maximum Geodesic Distance (Diameter) : 5
Average Geodesic Distance : 1.84282
Graph Density : 0.00239007480386791
Modularity : 0.847454
NodeXL Version : 1.0.1.434
Data Import : The graph represents a network of 406 Twitter users whose recent tweets contained "who, safety measures, covid", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Monday, 22 June 2020 at 16:15 UTC.
The tweets in the network were tweeted over the 8-day, 1-hour, 36-minute period from Sunday, 14 June 2020 at 14:37 UTC to Monday, 22 June 2020 at 16:13 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 : TwitterSearch
Graph Term : who, safety measures, covid
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Top Domains
Top Word Pairs in Tweet in G2:
[27] nat,coord [20] coord,want [5] want,next [3] next,covid [2] covid,19 [2] 19,victim [2] victim,owe [2] owe,ourselves [2] ourselves,adhere [2] adhere,safety Top Word Pairs in Tweet in G3:
[31] gregabbott_tx,rushed [31] rushed,reopening [31] reopening,undermines [31] undermines,local [31] local,health [31] health,measures [31] measures,mask [31] mask,wearing [31] wearing,lead [31] lead,wearing Top Word Pairs in Tweet in G4:
[22] covid,19 [22] health,safety [22] safety,measures [22] examination,centres [22] centres,june [22] june,26 [22] high,court [22] measures,against [22] against,covid [22] 19,infections Top Word Pairs in Tweet in G5:
[9] wow,speaker [6] speaker,vos [6] vos,one [6] one,spent [6] spent,months [6] months,forcing [5] forcing,repeal [5] repeal,wisconsin [5] wisconsin,s [5] s,public Top Word Pairs in Tweet in G6:
[22] hierarchy,controls [22] controls,workplace [22] workplace,safety [22] safety,those [22] those,sick [22] sick,stay [22] stay,home [22] home,physical [22] physical,distancing [22] distancing,2m Top Word Pairs in Tweet in G7:
[18] safety,measures [18] ironic,same [18] same,delhi [18] delhi,running [18] running,out [18] out,beds [18] beds,covid [18] covid,patients [18] patients,going [18] going,provide Top Word Pairs in Tweet in G8:
[6] team,members [4] longo,s [4] two,team [4] members,longo [4] s,rutherford [4] rutherford,location [4] location,tested [4] tested,positive [4] positive,covid [4] covid,19 Top Word Pairs in Tweet in G9:
[22] covid,19 [22] 19,serious [11] serious,issue [11] issue,those [11] those,working [11] working,without [11] without,mask [11] mask,need [11] need,show [11] show,concern Top Word Pairs in Tweet in G10:
[10] drive,educate [10] public,centre [10] centre,printed [10] printed,pamphlets [10] related,covid [10] covid,19 [10] safety,measures [10] measures,combat [10] combat,pandemic [10] mr,asif Top Replied-To in Entire Graph:
Top Replied-To in G7:
Top Mentioned in Entire Graph:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G7:
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: