The graph represents a network of 17,543 Twitter users whose recent tweets contained "#WearAMask", 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 Wednesday, 25 November 2020 at 12:39 UTC.
The tweets in the network were tweeted over the 1-day, 15-hour, 58-minute period from Monday, 23 November 2020 at 19:54 UTC to Wednesday, 25 November 2020 at 11:52 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 : 17543
Unique Edges : 23125
Edges With Duplicates : 6531
Total Edges : 29656
Number of Edge Types : 5
Replies to : 2102
Tweet : 5858
Retweet : 10359
MentionsInRetweet : 7012
Mentions : 4325
Self-Loops : 6044
Reciprocated Vertex Pair Ratio : 0.0164963503649635
Reciprocated Edge Ratio : 0.0324572741634353
Connected Components : 4625
Single-Vertex Connected Components : 3066
Maximum Vertices in a Connected Component : 8094
Maximum Edges in a Connected Component : 16060
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 6.232938
Graph Density : 6.78788818741276E-05
Modularity : 0.734266
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 17,543 Twitter users whose recent tweets contained "#WearAMask", 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 Wednesday, 25 November 2020 at 12:39 UTC.
The tweets in the network were tweeted over the 1-day, 15-hour, 58-minute period from Monday, 23 November 2020 at 19:54 UTC to Wednesday, 25 November 2020 at 11:52 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 : #WearAMask
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:
[1083] #wearamask,#stayhome [982] wearing,mask [751] #wearamask,#washyourhands [742] wear,mask [636] wash,hands [628] #stayhome,#wearamask [612] covid,19 [609] stay,home [604] died,#covid19 [563] #covid19,#wearamask Top Word Pairs in Tweet in G1:
[192] #wearamask,#stayhome [175] wear,mask [159] #stayhome,#wearamask [134] #wearamask,#washyourhands [132] #covid19,#wearamask [88] wearing,mask [86] covid,19 [81] please,#wearamask [74] stay,home [67] stay,safe Top Word Pairs in Tweet in G2:
[222] wearing,mask [210] mask,patriotic [210] patriotic,revive [210] revive,economy [210] economy,pass [210] pass,#wearamask [108] #wearamask,#stayhome [55] wear,mask [53] #covid19,#wearamask [48] white,house Top Word Pairs in Tweet in G3:
[484] wash,hands [395] part,#wearamask [394] #wearamask,over [394] over,mouth [394] mouth,nose [393] nose,stay [393] others,wash [391] stay,home [390] #covid19,cases [390] hands,stay Top Word Pairs in Tweet in G4:
[257] wearing,mask [256] mask,patriotic [256] patriotic,revive [256] revive,economy [256] economy,pass [256] pass,#wearamask [203] #staysafe,#wearamask [177] week,#staysafe [127] wishing,everyone [123] dear,friends Top Word Pairs in Tweet in G5:
[171] physical,distancing [166] tools,fight [166] fight,#covid19 [166] #covid19,physical [166] distancing,#wearamask [166] #wearamask,#handhygiene [166] #handhygiene,ventilation [166] ventilation,accurate [166] accurate,information [166] superhero,#inthistogether Top Word Pairs in Tweet in G6:
[120] wearing,mask [84] #wearamask,#africamaskweek [76] help,stop [72] africacdc,auyouthenvoy_ [67] spread,#covid19 [66] #africamaskweek,#wearamask [62] auyouthenvoy_,resolvetsl [61] part,help [60] mask,wearing [57] each,part Top Word Pairs in Tweet in G7:
[537] died,#covid19 [315] #healthcareheroes,#wearamask [196] #healthcareheroes,#getusppe [196] #getusppe,#wearamask [186] puerto,rico [184] rico,died [165] #covid19,11 [124] #wearamask,#stayhome [112] #covid19,10 [104] over,2000 Top Word Pairs in Tweet in G8:
[246] #wearamask,#wearadamnmask [245] please,send [245] send,love [245] love,military [245] military,veteran [245] veteran,fighting [245] fighting,#covid19 [245] #covid19,dawsons [245] dawsons,sending [245] sending,love Top Word Pairs in Tweet in G9:
[265] covid,today [264] uncle,died [264] died,covid [264] today,man [264] man,joy [264] joy,everyone [264] everyone,knew [264] knew,waiting [264] waiting,til [264] til,next Top Word Pairs in Tweet in G10:
[86] pleaded,go [86] go,always [86] always,things [86] things,way [86] way,dad [86] dad,lived [86] lived,wonderful [86] wonderful,know [86] know,regrets [86] regrets,love 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: