The graph represents a network of 191 Twitter users whose tweets in the requested range contained "#WashTheHate OR @WashTheHate", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 19 September 2020 at 08:45 UTC.
The requested start date was Saturday, 19 September 2020 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 12-day, 4-hour, 46-minute period from Saturday, 05 September 2020 at 17:14 UTC to Thursday, 17 September 2020 at 22:01 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 : 191
Unique Edges : 179
Edges With Duplicates : 283
Total Edges : 462
Number of Edge Types : 5
Tweet : 8
Mentions : 182
Retweet : 108
MentionsInRetweet : 143
Replies to : 21
Self-Loops : 12
Reciprocated Vertex Pair Ratio : 0.023728813559322
Reciprocated Edge Ratio : 0.0463576158940397
Connected Components : 7
Single-Vertex Connected Components : 2
Maximum Vertices in a Connected Component : 102
Maximum Edges in a Connected Component : 292
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 2.908768
Graph Density : 0.00832185174979333
Modularity : 0.5169
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 191 Twitter users whose tweets in the requested range contained "#WashTheHate OR @WashTheHate", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 19 September 2020 at 08:45 UTC.
The requested start date was Saturday, 19 September 2020 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 12-day, 4-hour, 46-minute period from Saturday, 05 September 2020 at 17:14 UTC to Thursday, 17 September 2020 at 22:01 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 : #WashTheHate OR @WashTheHate
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:
[70] reported,cases [68] 2200,reported [68] cases,horrifying [68] horrifying,hate [68] hate,crimes [68] crimes,against [68] against,asians [68] asians,ignored [68] ignored,please [68] please,spread Top Word Pairs in Tweet in G1:
[68] 2200,reported [68] reported,cases [68] cases,horrifying [68] horrifying,hate [68] hate,crimes [68] crimes,against [68] against,asians [68] asians,ignored [68] ignored,please [68] please,spread Top Word Pairs in Tweet in G2:
[6] beyonddiff,acttochange [4] anti,asian [4] curtisschin,hudsondyang [3] 60sec,#asiaminute [3] #asiaminute,episode [3] episode,originally [3] originally,sights [3] sights,sounds [3] sounds,#chinatowns [3] #chinatowns,rising Top Word Pairs in Tweet in G3:
[5] simply,#racism [5] #racism,norm [5] norm,#washthehate [4] chinese,grandmother [4] acttochange,stay [4] stay,united [4] united,#washthehate [4] #washthehate,washthehate [4] washthehate,#acttochange [4] #acttochange,#stopaapihate Top Word Pairs in Tweet in G4:
[8] curtisschin,mocanyc [8] mocanyc,chinatownnyc [8] chinatownnyc,chinatownreport [8] chinatownreport,chinatownnyc2 [8] chinatownnyc2,nycgov [8] nycgov,cm_margaretchin [8] cm_margaretchin,aaww [8] aaww,wingonwoandco [8] wingonwoandco,washthehate [8] viet_t_nguyen,amychua Top Word Pairs in Tweet in G6:
[9] tzima8,#washthehate Top Word Pairs in Tweet in G7:
[2] ghetto,lottery [2] washthehate,chinese [2] covid,came [2] came,china [2] china,means [2] means,re [2] re,smart [2] smart,enough [2] enough,create [2] proudly,sporting Top Word Pairs in Tweet in G8:
[5] vaffvancouver,capeusa [5] capeusa,washthehate [4] live,watch [4] watch,groupthink [4] groupthink,music [4] music,video [4] video,tell [4] tell,think [4] think,retweet [4] retweet,love Top Word Pairs in Tweet in G9:
[6] mlk,jr's [6] jr's,mother [6] mother,alberta [6] alberta,king [4] alvedacking,alvedaking [3] create,logo [3] logo,shirt [3] shirt,honor [3] honor,mlk [3] king,officialmlk3 Top Word Pairs in Tweet in G10:
[3] started,joining [3] joining,national [3] national,#washthehate [3] #washthehate,campaign [3] campaign,conversation [3] conversation,continues [3] continues,month [3] month,uofuedi's [2] morganaguilar,started [2] uofuedi's,#reframi Top Replied-To in Entire Graph:
Top Replied-To in G2:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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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:
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Top Tweeters in G10: