The graph represents a network of 4,865 Twitter users whose tweets in the requested range contained "#StopAsianHate", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 06 November 2021 at 23:15 UTC.
The requested start date was Saturday, 06 November 2021 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 6-day, 5-hour, 50-minute period from Saturday, 30 October 2021 at 18:10 UTC to Saturday, 06 November 2021 at 00:00 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 : 4865
Unique Edges : 2984
Edges With Duplicates : 8963
Total Edges : 11947
Number of Edge Types : 5
Retweet : 2519
MentionsInRetweet : 3896
Tweet : 4611
Replies to : 363
Mentions : 558
Self-Loops : 4659
Reciprocated Vertex Pair Ratio : 0.00946719506825187
Reciprocated Edge Ratio : 0.0187568157033806
Connected Components : 1781
Single-Vertex Connected Components : 1496
Maximum Vertices in a Connected Component : 1280
Maximum Edges in a Connected Component : 3789
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 2.528083
Graph Density : 0.000193759466111321
Modularity : 0.40761
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 4,865 Twitter users whose tweets in the requested range contained "#StopAsianHate", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 06 November 2021 at 23:15 UTC.
The requested start date was Saturday, 06 November 2021 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 6-day, 5-hour, 50-minute period from Saturday, 30 October 2021 at 18:10 UTC to Saturday, 06 November 2021 at 00:00 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 : GraphServerTwitterSearch
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:
[3792] #stopasianhate,#stopaapihate [3478] #stopasianhatecrimes,#stopasianhate [3411] #bannon,#drlimengyan1 [3387] #stopaapihate,#bannon [3158] #limengyan,#yanlimeng [2008] #éƒ,æ [2003] æ,µ [1988] #é,æ [1948] æ,#éƒ [1841] µ,#limengyan Top Word Pairs in Tweet in G1:
[3418] #stopasianhate,#stopaapihate [3356] #stopasianhatecrimes,#stopasianhate [3316] #bannon,#drlimengyan1 [3293] #stopaapihate,#bannon [3116] #limengyan,#yanlimeng [1933] #éƒ,æ [1932] æ,µ [1920] #é,æ [1877] æ,#éƒ [1782] µ,#limengyan Top Word Pairs in Tweet in G2:
[1132] mrandyngo,nypdhatecrimes [1132] nypdhatecrimes,unit [1132] unit,seeking [1132] seeking,identity [1132] identity,black [1132] black,woman [1132] woman,told [1132] told,east [1132] east,asian [1132] asian,woman Top Word Pairs in Tweet in G3:
[252] #stopasianhate,#stopaapihate [250] bts_twt,#stopasianhate [2] need,proof [2] proof,incident [2] incident,œðÿ [2] œðÿ,#stopasianhate [2] #stopasianhate,#racismisnotanopinion [2] #racismisnotanopinion,#btsarmy [2] #btsarmy,bts_twt [2] bts_twt,thank Top Word Pairs in Tweet in G4:
[108] khai,wu [108] handled,himself [107] watch,#mma [107] #mma,prospect [107] prospect,khai [107] wu,diffuse [107] diffuse,situation [107] situation,unhinged [107] unhinged,customer [107] customer,handled Top Word Pairs in Tweet in G5:
[80] anti,asian [80] hate,crimes [79] asian,hate [79] crimes,increased [79] increased,more [79] more,73 [79] 73,2020 [79] 2020,continue [79] continue,stand [79] stand,together Top Word Pairs in Tweet in G6:
[57] rn,daughter [57] daughter,two [57] two,physicians [57] physicians,china [57] china,came [56] came,1948 [56] 1948,1949 [54] 1949,resident [54] resident,mds [45] mds,sloankettering Top Word Pairs in Tweet in G7:
[41] #blacklivesmatter,#stopasianhate [36] ãƒ,ム[21] #blacklivesmatter,#blm [20] good,morning [20] morning,america [20] america,#enough [20] #enough,#endpolicebrutality [20] #endpolicebrutality,#standupagainstracism [20] #standupagainstracism,#blacklivesmatter [20] #blm,#silenceisnotanoption Top Word Pairs in Tweet in G8:
[91] check,#fantastictalesofadventure [91] #fantastictalesofadventure,co [91] co,1s21dqo4th [91] 1s21dqo4th,#ttrpg [91] #ttrpg,#youtube [91] #youtube,channel [90] channel,full [79] full,stories [63] stories,more [63] more,working Top Word Pairs in Tweet in G9:
[22] irony,heading [22] heading,work [22] work,days [22] days,confrontation [22] confrontation,man [22] man,telling [22] telling,go [22] go,back [22] back,came [21] willyunlee,irony Top Word Pairs in Tweet in G10:
[45] abrighterdaypt,evento [42] movimento,#stopasianhate [40] evento,#wekonnectpt [40] #wekonnectpt,atividade [40] atividade,especial [40] especial,junta [40] junta,tua [40] tua,voz [40] voz,nossa [40] nossa,apoio Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: