The graph represents a network of 107 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, 26 September 2020 at 08:45 UTC.
The requested start date was Saturday, 26 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 10-day, 4-hour, 35-minute period from Saturday, 12 September 2020 at 03:13 UTC to Tuesday, 22 September 2020 at 07:49 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 : 107
Unique Edges : 84
Edges With Duplicates : 107
Total Edges : 191
Number of Edge Types : 5
Retweet : 37
MentionsInRetweet : 57
Mentions : 80
Replies to : 9
Tweet : 8
Self-Loops : 11
Reciprocated Vertex Pair Ratio : 0.0423728813559322
Reciprocated Edge Ratio : 0.0813008130081301
Connected Components : 10
Single-Vertex Connected Components : 2
Maximum Vertices in a Connected Component : 78
Maximum Edges in a Connected Component : 143
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 4.101078
Graph Density : 0.0108446482101922
Modularity : 0.550197
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 107 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, 26 September 2020 at 08:45 UTC.
The requested start date was Saturday, 26 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 10-day, 4-hour, 35-minute period from Saturday, 12 September 2020 at 03:13 UTC to Tuesday, 22 September 2020 at 07:49 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:
[11] anti,asian [9] #covid19,anti [9] asian,racism [9] racism,national [9] national,problem [9] problem,seeing [9] seeing,australia [9] australia,canada [9] canada,america [9] america,common Top Word Pairs in Tweet in G1:
[3] anti,asian [3] #canada,#fightthevirus [3] #fightthevirus,#fightthebias [3] #fightthebias,#washthehate [3] #washthehate,infographic [3] infographic,ccncto [3] ccncto,proj1907 [3] proj1907,ccncsj [2] #asiaminute,episode [2] curtisschin,#canada Top Word Pairs in Tweet in G4:
[8] #covid19,anti [8] anti,asian [8] asian,racism [8] racism,national [8] national,problem [8] problem,seeing [8] seeing,australia [8] australia,canada [8] canada,america [8] america,common Top Word Pairs in Tweet in G5:
[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 G6:
[3] vaffvancouver,capeusa [3] capeusa,washthehate [2] end,prejudice [2] prejudice,racist [2] racist,rhetoric [2] rhetoric,communicate [2] communicate,#elimin8hate [2] #elimin8hate,#washthehate [2] #washthehate,elimin8hate3 [2] elimin8hate3,vaffvancouver 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 Top Word Pairs in Tweet in G8:
[6] tzima8,#washthehate Top Word Pairs in Tweet in G9:
[6] 2200,reported [6] reported,cases [6] cases,horrifying [6] horrifying,hate [6] hate,crimes [6] crimes,against [6] against,asians [6] asians,ignored [6] ignored,please [6] please,spread Top Word Pairs in Tweet in G10:
[8] covid,19 [5] running,rampant [4] 12,simple [4] simple,ways [4] ways,stand [4] stand,against [4] against,covid [4] 19,racism [4] racism,covid [4] 19,running Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G6:
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: