The graph represents a network of 5,025 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 3/3/2023 5:00:35 PM. The network was obtained from Twitter on Sunday, 05 March 2023 at 00:43 UTC.
The tweets in the network were tweeted over the 1000-day, 22-hour, 52-minute period from Saturday, 06 June 2020 at 02:01 UTC to Saturday, 04 March 2023 at 00:54 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 : 5025
Unique Edges : 2299
Edges With Duplicates : 9476
Total Edges : 11775
Number of Edge Types : 9
Retweet : 3396
MentionsInRetweet : 4061
Replies to : 889
MentionsInReplyTo : 1519
Tweet : 896
Quote : 417
Mentions : 339
MentionsInQuote : 182
MentionsInQuoteReply : 76
Self-Loops : 1080
Reciprocated Vertex Pair Ratio : 0.0161033445407892
Reciprocated Edge Ratio : 0.0316962730755834
Connected Components : 553
Single-Vertex Connected Components : 173
Maximum Vertices in a Connected Component : 3306
Maximum Edges in a Connected Component : 8561
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 5.753137
Graph Density : 0.000227445574674399
Modularity : 0.479112
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 5,025 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 3/3/2023 5:00:35 PM. The network was obtained from Twitter on Sunday, 05 March 2023 at 00:43 UTC.
The tweets in the network were tweeted over the 1000-day, 22-hour, 52-minute period from Saturday, 06 June 2020 at 02:01 UTC to Saturday, 04 March 2023 at 00:54 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:
[524] asian,american [443] against,asians [440] asian,women [426] regularly,asians [426] cities,today [425] asians,cities [425] happen,regularly [424] american,community [424] defeating,silence [423] incidents,happen Top Word Pairs in Tweet in G1:
[408] #metoo,#asianlivesmatter [375] asian,women [371] protect,asian [371] asian,crime [365] women,stop [364] firstthemnews,protect [234] asian,asian [225] stop,asian [223] #domesticviolence,#domesticabuse [220] #asiancrimereport,#stopasianhate Top Word Pairs in Tweet in G2:
[381] happen,regularly [381] asian,american [381] regularly,asians [381] cities,today [381] incidents,happen [381] community,incidents [381] silence,asian [381] asians,cities [381] defeating,silence [381] american,community Top Word Pairs in Tweet in G3:
[31] #stopasianhate,#stopaapihate [22] bts_twt,#stopasianhate [19] lance,gooden [19] rep,lance [16] anti,asian [14] cia,military [13] #hateagainstasians,#stopasianhate [13] hey,#asianhate [13] white,supremacy [13] supremacy,woke Top Word Pairs in Tweet in G4:
[211] #australia,happened [211] asians,#australia [211] tw,#racism [211] happened,coffee [211] top,ryde [211] racist,white [211] ryde,racist [211] coffee,club [211] club,top [211] white,woman Top Word Pairs in Tweet in G5:
[212] #blackonwhiteviolence,#blackonasianviolence [195] #blackonasianviolence,epidemic [171] hardly,isolated [171] texas_made956,hardly [171] incident,#blackonwhiteviolence [171] isolated,incident [170] antiwhitewatch1,texas_made956 [24] affecting,communities [24] epidemic,affecting [24] need,solidarity Top Word Pairs in Tweet in G6:
[78] san,francisco [76] young,asian [75] armed,thugs [75] two,armed [74] carjacked,victim [74] sitting,car [74] asian,lady [74] car,san [74] guns,young [74] pointed,guns Top Word Pairs in Tweet in G7:
[208] blacks,highest [208] those,people [208] leave,those [208] asians,more [208] alone,dammit [208] race,leave [208] people,alone [208] rate,crimes [208] against,asians [208] highest,rate Top Word Pairs in Tweet in G8:
[23] fighthaven,#stopasianhate [11] black,asian [11] sad,#stopasianhate [10] rights,groups [10] replaced,east [10] hate,crime [10] #stopasianhate,inconvenient [10] elonmusk,monitoringbias [10] crime,happens [10] urban,hellholes Top Word Pairs in Tweet in G9:
[39] asian,american [35] stick,each [35] regularly,asians [35] cities,today [35] dignity,#stopasianhate [35] asians,stick [35] white,asians [34] aren,white [34] asians,cities [34] happen,regularly Top Word Pairs in Tweet in G10:
[23] face,#stopasianhate [23] shocked,face [23] asian,american [23] oh,look [23] american,shocked [23] republican,attacking [23] another,day [23] another,republican [23] attacking,asian [23] look,another 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: