The graph represents a network of 4,410 Twitter users whose recent tweets contained "#StopAsianHate", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 2/3/2023 5:00:35 PM. The network was obtained from Twitter on Sunday, 05 February 2023 at 00:43 UTC.
The tweets in the network were tweeted over the 713-day, 4-hour, 1-minute period from Saturday, 20 February 2021 at 20:40 UTC to Saturday, 04 February 2023 at 00:41 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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 : 4410
Unique Edges : 1761
Edges With Duplicates : 9482
Total Edges : 11243
Number of Edge Types : 9
Retweet : 3727
MentionsInRetweet : 4334
Mentions : 301
Replies to : 540
MentionsInReplyTo : 876
Quote : 280
Tweet : 878
MentionsInQuote : 113
MentionsInQuoteReply : 194
Self-Loops : 1073
Reciprocated Vertex Pair Ratio : 0.0169526566053339
Reciprocated Edge Ratio : 0.0333401097784102
Connected Components : 533
Single-Vertex Connected Components : 238
Maximum Vertices in a Connected Component : 2697
Maximum Edges in a Connected Component : 7730
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 4.860619
Graph Density : 0.000252986958751142
Modularity : 0.420886
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 4,410 Twitter users whose recent tweets contained "#StopAsianHate", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 2/3/2023 5:00:35 PM. The network was obtained from Twitter on Sunday, 05 February 2023 at 00:43 UTC.
The tweets in the network were tweeted over the 713-day, 4-hour, 1-minute period from Saturday, 20 February 2021 at 20:40 UTC to Saturday, 04 February 2023 at 00:41 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
Graph Term : #StopAsianHate
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:
[1323] stop,asian [911] asian,asian [911] asian,crime [905] #asianlivesmatter,#asiancrimereport [687] #stopasianhate,#stopaapihate [598] firstthemnews,protect [549] model,minority [536] asian,women [516] #asiancrimereport,#stopasianhate [511] women,stop Top Word Pairs in Tweet in G1:
[1168] stop,asian [816] asian,asian [813] #asianlivesmatter,#asiancrimereport [813] asian,crime [537] firstthemnews,protect [482] asian,women [479] #stopasianhate,#stopaapihate [472] #asiancrimereport,#stopasianhate [467] crime,#asianlivesmatter [467] protect,asian Top Word Pairs in Tweet in G2:
[370] anti,asian [366] home,outside [366] early,age [366] racism,starts [366] racist,asians [366] age,taught [366] taught,racist [366] start,home [366] asians,start [366] asian,racism Top Word Pairs in Tweet in G3:
[79] #郭文贵,#stopasianhate [74] #uscis,#郭文贵 [73] #stopasianhatecrimes,#stopasianhate [50] #stopasianhate,#郭文贵 [48] #stopasianhate,#stopaapihate [38] #uscis,#stopasianhate [37] #stopaapihate,#bannon [35] #stopasianhate,#stopasianhatecrimes [29] #inspiredbyyou,#stopasianhate [29] #muscles,#muscleman Top Word Pairs in Tweet in G4:
[151] san,francisco [147] asians,40 [147] tells,go [147] slurs,san [147] woman,racial [147] go,back [147] calls,asian [147] 40,san [147] back,country [147] man,calls Top Word Pairs in Tweet in G5:
[30] monterey,park [29] lunar,year [27] park,lunar [27] year,victims [27] gofundme,proceeds [27] victims,fund [27] fund,gofundme [26] #aapi,community [25] vietnamese,arabic [25] #stopasianhate,#lunarnewyear Top Word Pairs in Tweet in G6:
[41] #stopasianhate,el_hormiguero [37] pablo,motos [23] #pablo_motos,#el_hormiguero [22] disculpas,públicas [21] ignorancia,falta [21] señor,faltado [21] faltado,respeto [21] ma,ignorancia [21] #pablomotosdisculpateconjhope,#pablomotosapologize [21] hablado,ma Top Word Pairs in Tweet in G7:
[50] headline,racist [50] racist,inflammatory [50] wsj,held [50] killed,altogether [50] story,killed [50] inflammatory,30 [50] altogether,headline [50] 30,asian [50] surely,wsj [50] held,story Top Word Pairs in Tweet in G8:
[35] stop,asian [33] firstthemnews,bad [30] don,remember [30] first,asian [30] laying,wreaths [30] vp,don [30] american,vp [30] wreaths,th [30] asian,american [30] kamala,harris Top Word Pairs in Tweet in G9:
[104] tweeting,racist [103] others,show [103] #stopasianhate,tweeting [103] racist,remarks [103] preaching,#stopasianhate [103] continuously,preaching [103] remarks,others [103] fandom,continuously [102] roseyarticles,fandom [102] show,mu Top Word Pairs in Tweet in G10:
[98] thug,sucker [98] #pennsylvania,2023 [98] 2023,thug [98] sucker,punches [98] ethnicity,unknown [98] elderly,man [98] 78,ethnicity [98] punches,knocks [98] unknown,front [98] man,78 Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
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Top Replied-To in G8:
Top Replied-To in G9:
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:
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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: