The graph represents a network of 14,164 Twitter users whose recent tweets contained "#StopOnlineAbuse", 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 Saturday, 01 May 2021 at 08:50 UTC.
The tweets in the network were tweeted over the 14-hour, 49-minute period from Friday, 30 April 2021 at 17:35 UTC to Saturday, 01 May 2021 at 08:25 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 : 14164
Unique Edges : 21326
Edges With Duplicates : 1523
Total Edges : 22849
Number of Edge Types : 5
Retweet : 16552
MentionsInRetweet : 3359
Tweet : 2133
Mentions : 606
Replies to : 199
Self-Loops : 2167
Reciprocated Vertex Pair Ratio : 0.000448922585794094
Reciprocated Edge Ratio : 0.000897442289474996
Connected Components : 1385
Single-Vertex Connected Components : 747
Maximum Vertices in a Connected Component : 11591
Maximum Edges in a Connected Component : 20131
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 4.694266
Graph Density : 9.99826863505892E-05
Modularity : 0.763395
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 14,164 Twitter users whose recent tweets contained "#StopOnlineAbuse", 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 Saturday, 01 May 2021 at 08:50 UTC.
The tweets in the network were tweeted over the 14-hour, 49-minute period from Friday, 30 April 2021 at 17:35 UTC to Saturday, 01 May 2021 at 08:25 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 : #StopOnlineAbuse
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:
[9215] social,media [2889] #allredallequal,#stoponlineabuse [2724] together,stop [2720] stop,#allredallequal [2719] join,together [2717] everyone,join [2664] online,abuse [2647] #stoponlineabuse,#noroomforracism [2522] media,companies [2312] companies,more Top Word Pairs in Tweet in G1:
[2675] #allredallequal,#stoponlineabuse [2525] together,stop [2525] stop,#allredallequal [2521] everyone,join [2521] join,together [988] social,media [392] #stoponlineabuse,manutd [332] media,boycott [328] demand,change [323] sports,organisations Top Word Pairs in Tweet in G2:
[1385] social,media [551] online,abuse [475] 59pm,monday [454] enough,enough [413] media,channels [413] #enough,#stoponlineabuse [412] enough,#stoponlineabuse [411] until,23 [410] response,sustained [406] 30,april Top Word Pairs in Tweet in G3:
[1203] enough,enough [1189] enough,#stoponlineabuse [118] social,media [78] online,abuse [47] against,online [40] english,football [38] demand,change [38] 59pm,monday [34] change,#stoponlineabuse [32] join,switch Top Word Pairs in Tweet in G4:
[1551] social,media [1323] #noroomforracism,#stoponlineabuse [1137] online,abuse [1098] media,platforms [947] platforms,#noroomforracism [921] stop,online [915] ianwright0,alanshearer [909] powerful,conversation [909] conversation,between [909] between,ianwright0 Top Word Pairs in Tweet in G5:
[2798] social,media [1417] #stoponlineabuse,#noroomforracism [1411] #notohate,#stoponlineabuse [1406] until,tuesday [1382] tuesday,#notohate [1322] media,companies [1317] companies,more [1308] boycott,social [1305] discriminatory,abuse [1304] more,prevent Top Word Pairs in Tweet in G6:
[186] social,media [106] #stoponlineabuse,#noroomforracism [67] #notohate,#stoponlineabuse [50] #noroomforracism,#stoponlineabuse [49] online,abuse [32] #noroomforracism,#justiceforsissoko [31] media,companies [26] boycott,social [26] media,boycott [23] companies,more Top Word Pairs in Tweet in G7:
[408] #noroomforracism,#stoponlineabuse [298] super,league [282] league,lasted [282] lasted,less [282] less,48 [282] 48,hours [282] hours,thanks [282] thanks,fan [282] fan,protests [282] protests,criticism Top Word Pairs in Tweet in G8:
[306] #notohate,#stoponlineabuse [305] #stoponlineabuse,#noroomforracism [72] sports,unity [72] unity,athletes [72] athletes,human [72] human,beings [72] beings,criticize [72] criticize,problem [72] problem,attack [72] attack,families Top Word Pairs in Tweet in G9:
[175] social,media [121] online,abuse [82] demand,change [75] english,football [72] change,#stoponlineabuse [71] sports,organisations [71] join,switch [71] switch,collectively [71] collectively,demand [67] against,online Top Word Pairs in Tweet in G10:
[141] social,media [70] demand,change [51] change,#stoponlineabuse [50] sports,organisations [48] online,abuse [45] boycott,social [43] coming,together [43] media,demand [40] organisations,boycott [39] weekend,coming 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 G7:
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:
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Top Mentioned in G6:
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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: