The graph represents a network of 1,024 Twitter users whose recent tweets contained "forcedlabour", 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 Monday, 27 June 2022 at 14:28 UTC.
The tweets in the network were tweeted over the 9-day, 8-hour, 37-minute period from Saturday, 18 June 2022 at 00:51 UTC to Monday, 27 June 2022 at 09:28 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.
Vertices : 1024
Unique Edges : 1098
Edges With Duplicates : 267
Total Edges : 1365
Number of Edge Types : 5
Retweet : 825
MentionsInRetweet : 134
Replies to : 22
Mentions : 76
Tweet : 308
Self-Loops : 312
Reciprocated Vertex Pair Ratio : 0.0189243027888446
Reciprocated Edge Ratio : 0.0371456500488759
Connected Components : 184
Single-Vertex Connected Components : 155
Maximum Vertices in a Connected Component : 535
Maximum Edges in a Connected Component : 595
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 4.124852
Graph Density : 0.0009765625
Modularity : 0.72356
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 1,024 Twitter users whose recent tweets contained "forcedlabour", 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 Monday, 27 June 2022 at 14:28 UTC.
The tweets in the network were tweeted over the 9-day, 8-hour, 37-minute period from Saturday, 18 June 2022 at 00:51 UTC to Monday, 27 June 2022 at 09:28 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 : forcedlabour
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:
[823] #xinjiang,#usa [710] #usa,#usa [710] #usa,#humanrights [710] #humanrights,#forcedlabour [710] #forcedlabour,#uygur [667] #uygur,#uflpa [495] united,states [419] forced,labor [232] labor,xinjiang [192] human,rights Top Word Pairs in Tweet in G1:
[218] #xinjiang,#usa [154] united,states [121] #usa,#usa [121] #usa,#humanrights [121] #humanrights,#forcedlabour [121] #forcedlabour,#uygur [117] forced,labor [89] #usa,#美国 [89] #美国,#人权 [89] #人权,#forcedlabour Top Word Pairs in Tweet in G2:
[117] uyghur,forced [113] forced,labour [109] today,banning [109] #uyghur,#forcedlabour [109] companies,dump [109] dump,uyghur [109] labour,goods [109] goods,markets [103] breaking,sweeping [103] sweeping,law Top Word Pairs in Tweet in G3:
[115] #xinjiang,#usa [113] #usa,#usa [113] #usa,#humanrights [113] #humanrights,#forcedlabour [113] #forcedlabour,#uygur [112] #uygur,#uflpa [111] forced,labor [62] called,forced [62] labor,xinjiang [62] xinjiang,originally Top Word Pairs in Tweet in G4:
[68] #xinjiang,#usa [67] #usa,#usa [67] #usa,#humanrights [67] #humanrights,#forcedlabour [67] #forcedlabour,#uygur [67] #uygur,#uflpa [63] actions,completely [63] completely,violate [63] violate,market [63] market,principles Top Word Pairs in Tweet in G5:
[60] #xinjiang,#usa [59] #usa,#usa [59] #usa,#humanrights [59] #humanrights,#forcedlabour [59] #forcedlabour,#uygur [59] #uygur,#uflpa [58] united,states [58] forced,labor [56] labor,xinjiang [56] anti,china Top Word Pairs in Tweet in G6:
[55] #xinjiang,#usa [54] #usa,#usa [54] #usa,#humanrights [54] #humanrights,#forcedlabour [54] #forcedlabour,#uygur [54] #uygur,#uflpa [53] implementation,comprehensive [53] comprehensive,ban [53] ban,xinjiang [53] xinjiang,related Top Word Pairs in Tweet in G7:
[59] #xinjiang,#usa [58] #usa,#usa [58] #usa,#humanrights [58] #humanrights,#forcedlabour [58] #forcedlabour,#uygur [57] #uygur,#uflpa [53] american,society [53] society,really [53] really,ironic [53] ironic,immigrants Top Word Pairs in Tweet in G8:
[57] #xinjiang,#usa [57] #usa,#usa [57] #usa,#humanrights [57] #humanrights,#forcedlabour [57] #forcedlabour,#uygur [56] #uygur,#uflpa [53] human,rights [53] united,states [52] under,banner [52] banner,called Top Word Pairs in Tweet in G9:
[61] #xinjiang,#usa [60] #usa,#usa [60] #usa,#humanrights [60] #humanrights,#forcedlabour [60] #forcedlabour,#uygur [59] #uygur,#uflpa [56] forced,labor [55] labor,xinjiang [52] united,states' [52] forced,unemployment Top Word Pairs in Tweet in G10:
[61] #xinjiang,#usa [60] #usa,#usa [60] #usa,#humanrights [60] #humanrights,#forcedlabour [60] #forcedlabour,#uygur [59] #uygur,#uflpa [51] creating,forced [51] forced,unemployment [51] unemployment,xinjiang [51] xinjiang,promoting Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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: