The graph represents a network of 8 274 Twitter users whose recent tweets contained "@amnesty", 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 Thursday, 02 March 2023 at 21:00 UTC.
The tweets in the network were tweeted over the 11-hour, 10-minute period from Thursday, 02 March 2023 at 08:53 UTC to Thursday, 02 March 2023 at 20:03 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 : 8274
Unique Edges : 35701
Edges With Duplicates : 93709
Total Edges : 129410
Number of Edge Types : 5
Retweet : 15897
MentionsInRetweet : 90352
Mentions : 20862
Replies to : 2276
Tweet : 23
Self-Loops : 387
Reciprocated Vertex Pair Ratio : 0,00618663356093524
Reciprocated Edge Ratio : 0,0122971889201917
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 8274
Maximum Edges in a Connected Component : 129410
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 2,363664
Graph Density : 0,000710422647787239
Modularity : 0,257353
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 8 274 Twitter users whose recent tweets contained "@amnesty", 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 Thursday, 02 March 2023 at 21:00 UTC.
The tweets in the network were tweeted over the 11-hour, 10-minute period from Thursday, 02 March 2023 at 08:53 UTC to Thursday, 02 March 2023 at 20:03 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 : @amnesty
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 Color : In-Degree
Vertex Radius : In-Degree
Vertex Alpha : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[5794] in,the [4443] hrw,un [4249] un,amnesty [3825] human,rights [3548] by,the [3477] in,pakistan [3475] rights,violations [3465] gross,human [3464] the,gross [3462] state,agencies Top Word Pairs in Tweet in G1:
[3907] un,amnesty [3897] hrw,un [3555] human,rights [3470] in,pakistan [3460] rights,violations [3457] state,agencies [3456] gross,human [3455] the,gross [3454] isi's,internal [2778] it,is Top Word Pairs in Tweet in G2:
[2469] amnesty,hrw [2336] un,ap [2312] europarl_en,un [2262] #oromovoice,#saveoromolives [2257] ap,#oromovoice [1689] hrw,ajenglish [1655] ajenglish,nytimes [1496] bbcafrica,europarl_en [1470] nytimes,cnn [1351] cnn,bbcafrica Top Word Pairs in Tweet in G3:
[2900] women,were [2679] in,the [2604] by,the [2407] the,brutal [2373] years,old [2105] amnesty,unosapg [1882] hrw,amnesty [1854] un_hrc,intlcrimcourt [1804] #justice4tigray,#tigraygenocide [1800] to,the Top Word Pairs in Tweet in G4:
[11] prison,just [11] crisis,goodlawproject [11] friday,3 [11] talking,about [11] amnesty,libertyhq [11] inner,london [11] for,talking [11] crown,court [11] demo,tomorrow [11] breaking,demo Top Word Pairs in Tweet in G5:
[15] exigimos,la [14] 2023,día [14] esperanza,no [14] de,nuestros [14] la,esperanza [14] cidh,la [14] rinde,jamás [14] 210,#sosnicaragua [14] sacerdotes,libertad [14] jamás,mons Top Word Pairs in Tweet in G6:
[19] amnesty,hrw [16] hrw,hrcp87 [16] pakpmo,ranasanaullahpk [16] govtofpakistan,pakpmo [16] cmshehbaz,govtofpakistan [11] hrw,amnesty [8] officialdgispr,cmshehbaz [8] hrcp87,cmshehbaz [8] hrcp87,officialdgispr [8] is,a Top Word Pairs in Tweet in G7:
[113] cnnbrk,europarl_da [109] attack,girls' [109] کل,ایران [109] chemical,attack [109] the,regime's [109] در,کل [109] شیمایی,رژیم [109] regime's,chemical [109] girls',schools [109] حمله,شیمایی Top Word Pairs in Tweet in G8:
[11] human,rights [10] unhumanrights,amnesty [10] hrw,amnesty [8] amnesty,amnestyusa [6] to,stand [6] farmer,union [6] solitary,with [6] rights,organizations [6] inhumane,amp [6] people,jailed Top Word Pairs in Tweet in G9:
[9] amnestyfrance,amnesty [9] michelonfray4,assembleenat [9] libe,banquedefrance [9] lemondefr,lobs [9] lemondefr,jlmelenchon [9] amnesty,amnistieca [9] lobs,lesechos [9] jlmelenchon,mediapart [9] assembleenat,amnestyfrance [9] lesechos,libe Top Word Pairs in Tweet in G10:
[16] you,will [15] to,nigerians [15] look,at [15] what,inecnigeria [15] at,what [15] serapnigeria,staceyabrams [15] amnesty,unhabitatyouth [15] inecnigeria,has [15] secblinken,serapnigeria [15] #nigeriadecide2023,secblinken Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G8:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
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Top Tweeters in G5:
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Top Tweeters in G7:
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Top Tweeters in G10: