The graph represents a network of 296 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, 08 August 2020 at 08:57 UTC.
The requested start date was Saturday, 08 August 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, 12-hour, 33-minute period from Saturday, 25 July 2020 at 03:39 UTC to Thursday, 06 August 2020 at 16:13 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 : 296
Unique Edges : 287
Edges With Duplicates : 349
Total Edges : 636
Number of Edge Types : 5
Retweet : 143
MentionsInRetweet : 229
Mentions : 191
Tweet : 36
Replies to : 37
Self-Loops : 40
Reciprocated Vertex Pair Ratio : 0.0376884422110553
Reciprocated Edge Ratio : 0.0726392251815981
Connected Components : 15
Single-Vertex Connected Components : 7
Maximum Vertices in a Connected Component : 230
Maximum Edges in a Connected Component : 501
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 3.513476
Graph Density : 0.00472972972972973
Modularity : 0.515995
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 296 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, 08 August 2020 at 08:57 UTC.
The requested start date was Saturday, 08 August 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, 12-hour, 33-minute period from Saturday, 25 July 2020 at 03:39 UTC to Thursday, 06 August 2020 at 16:13 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:
[30] anti,asian [28] andreaannwalter,#washthehate [27] osricchau,andreaannwalter [17] share,message [17] rising,anti [16] asian,american [16] 60,second [16] second,video [16] asian,hate [16] fight,virus Top Word Pairs in Tweet in G1:
[24] anti,asian [14] rising,anti [14] #washthehate,#strongertogether [13] sights,sounds [13] fight,virus [13] virus,fight [13] fight,bias [13] 60,second [13] second,video [12] #asiaminute,episode Top Word Pairs in Tweet in G2:
[11] asian,american [7] race,storytelling [6] icymi,race [6] storytelling,asian [6] american,voices [6] voices,presented [6] presented,sagaftra [5] #sagaftramembers,asian [5] american,community [5] community,raise Top Word Pairs in Tweet in G3:
[28] andreaannwalter,#washthehate [27] osricchau,andreaannwalter Top Word Pairs in Tweet in G5:
[6] #acttochange,#washthehate [5] share,message [5] stop,violence [5] violence,stop [5] stop,hate [5] hate,proud [5] proud,see [5] see,yorkers [5] yorkers,marching [5] marching,against Top Word Pairs in Tweet in G6:
[13] 2200,reported [13] reported,cases [13] cases,horrifying [13] horrifying,hate [13] hate,crimes [13] crimes,against [13] against,asians [13] asians,ignored [13] ignored,please [13] please,spread Top Word Pairs in Tweet in G8:
[11] thanks,sharing [11] sharing,stories [11] stories,conversation [11] conversation,human [11] human,experience [11] experience,make [11] make,richer [10] dannypudi,thanks [10] richer,#representationma Top Word Pairs in Tweet in G9:
[2] part,ii [2] ii,#development [2] #development,fundraising [2] fundraising,#opportunities [2] #opportunities,challenges [2] challenges,#aapi [2] #aapi,community Top Word Pairs in Tweet in G10:
[3] asian,american [3] american,anti [3] anti,hate [3] hate,psa [3] psa,youtube [3] anti,asian [2] childhood,japan [2] japan,full [2] full,wonderful [2] wonderful,people Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G7:
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 G6:
Top Mentioned in G7:
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: