The graph represents a network of 4,709 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 3/17/2023 5:00:36 PM. The network was obtained from Twitter on Saturday, 18 March 2023 at 23:44 UTC.
The tweets in the network were tweeted over the 2740-day, 5-hour, 42-minute period from Tuesday, 15 September 2015 at 18:18 UTC to Saturday, 18 March 2023 at 00:00 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 : 4709
Unique Edges : 2274
Edges With Duplicates : 9353
Total Edges : 11627
Number of Edge Types : 9
Tweet : 803
Retweet : 3577
MentionsInRetweet : 4391
Replies to : 733
MentionsInReplyTo : 1369
Mentions : 292
Quote : 312
MentionsInQuote : 128
MentionsInQuoteReply : 22
Self-Loops : 1002
Reciprocated Vertex Pair Ratio : 0.017725258493353
Reciprocated Edge Ratio : 0.034833091436865
Connected Components : 586
Single-Vertex Connected Components : 225
Maximum Vertices in a Connected Component : 3089
Maximum Edges in a Connected Component : 8157
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 5.71194
Graph Density : 0.000248624581032398
Modularity : 0.467216
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 4,709 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 3/17/2023 5:00:36 PM. The network was obtained from Twitter on Saturday, 18 March 2023 at 23:44 UTC.
The tweets in the network were tweeted over the 2740-day, 5-hour, 42-minute period from Tuesday, 15 September 2015 at 18:18 UTC to Saturday, 18 March 2023 at 00:00 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:
[492] years,ago [439] two,years [415] mass,shooting [387] aapi,community [379] targeting,atlanta [379] racist,mass [379] americans,murdered [379] atlanta,aapi [379] murdered,racist [379] ago,eight Top Word Pairs in Tweet in G1:
[306] model,minority [297] firstthemnews,model [277] minority,report [155] asian,crime [132] 60,arrested [121] lit,riots [121] gas,lit [121] riots,#stopasianhate [120] dwannb,gas [114] massage,parlor Top Word Pairs in Tweet in G2:
[289] sidewalk,people [289] people,see [289] cross,street [289] women,hold [289] street,women [289] wonder,people [289] approaching,sidewalk [289] see,black [289] people,cross [289] black,males Top Word Pairs in Tweet in G3:
[351] ago,eight [351] racist,mass [351] community,today [351] murdered,racist [351] atlanta,aapi [351] aapi,community [351] two,years [351] targeting,atlanta [351] shooting,targeting [351] eight,americans Top Word Pairs in Tweet in G4:
[107] innocent,lives [106] women,killed [101] years,ago [98] six,asian [98] gun,violence [94] 16,2021 [93] march,16 [92] shooting,shocked [92] sadly,anti [92] ago,lost Top Word Pairs in Tweet in G5:
[173] cecille,lai [120] kyle,lai [119] 23yo,kyle [119] veteran,fractured [119] lai,military [119] suspects,assaulted [119] fractured,skull [119] 44yo,cecille [119] assaulted,road [119] lai,concussion Top Word Pairs in Tweet in G6:
[37] #stopasianhatecrimes,#stopasianhate [36] #stopasianhate,#stopasianhatecrimes [31] #stopasianhate,#stopaapihate [28] #stopasianhate,#郭文贵 [25] #郭文贵,#stopasianhate [21] #stopaapihate,#bannon [21] #bannon,#drlimengyan1 [21] #limengyan,#yanlimeng [14] #drlimengyan1,#limengyan [13] #郭文贵,#stopasianhatecrimes Top Word Pairs in Tweet in G7:
[19] mrandyngo,houstonpolice [17] asian,woman [16] body,slams [14] #stopasianhate,#stopasianhatecrimes [13] activeasian,#stopasianhate [13] blacks,hate [13] black,male [10] houstonpolice,#stopasianhate [9] slams,asian [9] hate,asians Top Word Pairs in Tweet in G8:
[76] racist,men [76] harasses,chinese [76] rape,sister [76] store,threatening [76] kids,working [76] chinese,kids [76] sister,boy [76] black,racist [76] threatening,rape [76] working,parents Top Word Pairs in Tweet in G9:
[151] 16,2021 [151] march,16 [93] ought,remind [93] 2021,ought [93] witnessed,march [93] act,hate [93] violence,witnessed [93] hate,violence [93] despicable,act [93] remind,stake Top Word Pairs in Tweet in G10:
[9] dangerous,asian [9] america,certain [9] making,incredibly [9] need,more [9] more,events [9] folks,making [9] incredibly,dangerous [9] events,america [9] certain,folks [9] gordongchang,need Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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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:
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Top Tweeters in G5:
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Top Tweeters in G9:
Top Tweeters in G10: