The graph represents a network of 16,182 Twitter users whose recent tweets contained "StopAsianHate", 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 Thursday, 29 April 2021 at 14:20 UTC.
The tweets in the network were tweeted over the 1-day, 18-hour, 19-minute period from Tuesday, 27 April 2021 at 19:20 UTC to Thursday, 29 April 2021 at 13:39 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 : 16182
Unique Edges : 19783
Edges With Duplicates : 5552
Total Edges : 25335
Number of Edge Types : 5
Retweet : 12592
Tweet : 5083
MentionsInRetweet : 5257
Replies to : 767
Mentions : 1636
Self-Loops : 5161
Reciprocated Vertex Pair Ratio : 0.00715020854774931
Reciprocated Edge Ratio : 0.0141988920561502
Connected Components : 3051
Single-Vertex Connected Components : 2369
Maximum Vertices in a Connected Component : 10991
Maximum Edges in a Connected Component : 17467
Maximum Geodesic Distance (Diameter) : 22
Average Geodesic Distance : 5.96892
Graph Density : 7.10087576754899E-05
Modularity : 0.727039
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 16,182 Twitter users whose recent tweets contained "StopAsianHate", 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 Thursday, 29 April 2021 at 14:20 UTC.
The tweets in the network were tweeted over the 1-day, 18-hour, 19-minute period from Tuesday, 27 April 2021 at 19:20 UTC to Thursday, 29 April 2021 at 13:39 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 : 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:
[6114] #stopasianhate,#stopaapihate [3457] year,old [3398] #stopasianhatecrimes,#stopasianhate [3309] 61,year [3298] hate,crime [3276] old,asian [3235] felony,assault [3197] black,male [3197] assault,hate [3168] released,#stopasianhate Top Word Pairs in Tweet in G1:
[3108] hate,crime [3104] black,male [3104] 61,year [3104] year,old [3104] old,asian [3103] breaking,black [3103] male,beat [3103] beat,61 [3103] asian,male [3103] male,kicking Top Word Pairs in Tweet in G2:
[3139] #stopasianhate,#stopaapihate [2932] #stopasianhatecrimes,#stopasianhate [2665] #stopaapihate,#bannon [2661] #bannon,#drlimengyan1 [2530] #limengyan,#yanlimeng [2390] #闫丽梦,#郭文贵 [2343] #drlimengyan1,#闫丽梦 [2323] #郭文贵,#limengyan [370] yan,limeng [319] #stopaapihate,#bannon#drlimengyan1#闫丽梦 Top Word Pairs in Tweet in G3:
[1479] #stopasianhate,#stopaapihate [9] bts_twt,#stopasianhate [9] bts_twt,thank [8] using,voice [8] #stopasianhate,#stopasianhatecrimes [7] thank,using [6] thank,much [5] using,platform [5] raise,awareness [5] bts_twt,same Top Word Pairs in Tweet in G4:
[1337] josh,hawley [1318] asian,americans [1316] violence,against [1315] president,biden [1315] biden,threw [1315] threw,shade [1315] shade,josh [1315] hawley,totally [1315] totally,thank [1315] thank,senate Top Word Pairs in Tweet in G5:
[434] asian,americans [356] hate,crimes [250] thank,potus [242] #stopasianhate,#bidenaddress [238] think,first [238] first,time [238] time,lifetime [238] lifetime,president [238] president,talked [238] talked,asian Top Word Pairs in Tweet in G6:
[516] go,fund [506] city,55 [506] 55,yr [506] yr,old [506] old,vietnamese [506] vietnamese,man [506] man,well [506] well,known [506] known,community [506] community,passion Top Word Pairs in Tweet in G7:
[477] go,fund [477] fund,help [477] help,cover [477] cover,funeral [477] funeral,expenses [477] expenses,#stopasianhate [63] 16,justice [63] justice,earl [63] earl,estrella [63] estrella,#stopasianhate Top Word Pairs in Tweet in G8:
[662] #stopasianhate,#stopaapihate [494] give,voice [494] voice,asians [439] asians,#stopasianhate [222] 언제부턴가,이 [222] 이,해시가 [222] 해시가,잘 [222] 잘,안보인다 [222] 안보인다,이렇게 [222] 이렇게,잊혀져 Top Word Pairs in Tweet in G9:
[143] #justiceforponzu,#stopasianhate [103] year,old [77] nypdhatecrimes,#stopasianhate [77] read,full [75] violent,hate [75] hate,against [75] against,asian [75] asian,american [75] american,community [75] community,left Top Word Pairs in Tweet in G10:
[150] year,old [103] 61,year [80] yao,pan [80] pan,ma [72] stomped,61 [72] old,yao [70] felony,assault [62] east,harlem [47] hate,crime [43] #stopasianhatecrimes,#stopasianhate Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
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 G8:
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: