forcedlabour, Twitter, 6/28/2022 8:19:18 AM, 278761


FAQ | Problem?

forcedlabour Twitter NodeXL SNA Map and Report for Monday, 27 June 2022 at 14:23 UTC
forcedlabour Twitter NodeXL SNA Map and Report for Monday, 27 June 2022 at 14:23 UTC
From:
Nadiatul Hanan
Uploaded on:
June 28, 2022
Short Description:
forcedlabour via NodeXL https://bit.ly/3u7ecfC
@carllyleisabel
@womeilenizhaoy1
@mirabellearmst1
@fenglinghanyan1
@wollastonlester
@basilspringhall
@inaherty
@macaulayyork
@horacesimona
@kayrobi38121743

Top hashtags:
#usa
#forcedlabour
#xinjiang
#humanrights
#uygur

Description:
Description
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.


Overall Graph Metrics
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 Influencers: Top 10 Vertices, Ranked by Betweenness Centrality
Top URLs
Top URLs in Tweet in Entire Graph:
[125] https://www.antislavery.org/new-uyghur-forced-labour-law-usa-other-countries-must-not-become-a-dumping-ground/
[37] https://www.bbc.com/news/business-61754796
[28] https://ilo-org.zoom.us/meeting/register/tJArduGorT0jHNIWj-DYjvkiGRa4KZmgTYjf
[12] https://www.mccaininstitute.org/resources/in-the-news/anti-trafficking-coalition-calls-on-g7-leaders-to-address-forced-labor-and-exploitation-of-refugees/
[10] https://calendly.com/paola-condemayta/modern-slavery-unveiled-pre-application-sessions
[7] https://rtaconference.org/
[5] https://www.9news.com.au/world/xinjiang-forced-labour-china-ban-import-usa-uyghur-antony-blinken-joe-biden-world-news/1debed43-ab9f-497c-ba52-38cf48d32dbf
[4] https://twitter.com/acv_csc_europe/status/1535903304298991617
[4] https://www.etuc.org/en/document/etuc-input-call-evidence-initiative-effectively-banning-products-produced-extracted-or
[4] https://traffickinginstitute.org/wp-content/uploads/2022/06/2021-Federal-Human-Trafficking-Report-Web.pdf

Top URLs in Tweet in G1:
[1] https://juicyreviewz.com/forced-labor-damages-reputation-ig-metall-boss-saws-at-the-vw-plant-in-china/?feed_id=21531&_unique_id=62ad219970af3
[1] https://theintercept.com/2020/08/21/school-laptops-lenovo-chromebooks-china-uyghur/
[1] https://www.nytimes.com/2022/06/20/business/economy/forced-labor-china-supply-chain.html?campaign_id=51&emc=edit_mbe_20220621&instance_id=64585&nl=morning-briefing%3A-europe-edition®i_id=55178554&segment_id=96310&te=1&user_id=fc0275640bf7abd6b9f57ae660094862
[1] https://twitter.com/Anti_Slavery/status/1539192034887667712
[1] https://www.integrityline.com/en-gb/expertise/webinars/modern-slavery/?utm_source=twitter&utm_medium=organic&utm_campaign=Integrity_GLOB_webinar253
[1] https://rightscorridor.com/us-rallying-allies-against-xinjiang-forced-labour-as-ban-takes-effect/
[1] https://twitter.com/supc_uk/status/1539548756445724673
[1] https://www.scmp.com/economy/china-economy/article/3182960/xinjiang-forced-labour-law-leaves-chinese-companies-bind?module=lead_hero_story&pgtype=homepage
[1] https://www.scmp.com/news/china/article/3182446/uygur-forced-labour-prevention-act-takes-effect-us-banning-imports?module=lead_hero_story&pgtype=homepage
[1] https://www.nytimes.com/2022/06/22/us/politics/xinjiang-uyghur-forced-labor-law.html?smid=tw-share

Top URLs in Tweet in G2:
[116] https://www.antislavery.org/new-uyghur-forced-labour-law-usa-other-countries-must-not-become-a-dumping-ground/
[4] https://enduyghurforcedlabour.org/coalition-statements-releases/letter-to-the-g7-leaders-on-combating-uyghur-forced-labour/

Top Domains
Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[1545] usa
[1171] forcedlabour
[846] xinjiang
[733] humanrights
[710] uygur
[667] uflpa
[173] uyghur
[102] 美国
[102] 人权
[43] childlabour



Top Hashtags in Tweet in G1:
[342] usa
[246] forcedlabour
[225] xinjiang
[132] humanrights
[121] uygur
[89] 美国
[89] 人权
[86] uflpa
[8] china
[5] uyghurs

Top Hashtags in Tweet in G2:
[124] forcedlabour
[116] uyghur
[6] usa
[4] g7
[4] g7ger

Top Hashtags in Tweet in G3:
[228] usa
[115] xinjiang
[115] forcedlabour
[113] humanrights
[113] uygur
[112] uflpa
[2] 美国
[2] 人权

Top Hashtags in Tweet in G4:
[135] usa
[68] xinjiang
[68] forcedlabour
[67] humanrights
[67] uygur
[67] uflpa
[1] 美国
[1] 人权

Top Hashtags in Tweet in G5:
[119] usa
[60] xinjiang
[60] forcedlabour
[59] humanrights
[59] uygur
[59] uflpa
[1] 美国
[1] 人权

Top Hashtags in Tweet in G6:
[109] usa
[55] xinjiang
[55] forcedlabour
[54] humanrights
[54] uygur
[54] uflpa
[1] 美国
[1] 人权

Top Hashtags in Tweet in G7:
[117] usa
[59] xinjiang
[59] forcedlabour
[58] humanrights
[58] uygur
[57] uflpa
[1] 美国
[1] 人权

Top Hashtags in Tweet in G8:
[114] usa
[57] xinjiang
[57] humanrights
[57] forcedlabour
[57] uygur
[56] uflpa

Top Hashtags in Tweet in G9:
[121] usa
[61] xinjiang
[61] forcedlabour
[60] humanrights
[60] uygur
[59] uflpa
[1] 美国
[1] 人权

Top Hashtags in Tweet in G10:
[121] usa
[61] xinjiang
[61] forcedlabour
[60] humanrights
[60] uygur
[59] uflpa
[1] 美国
[1] 人权

Top Words
Top Words in Tweet in Entire Graph:
[1545] #usa
[1170] #forcedlabour
[846] #xinjiang
[733] #humanrights
[710] #uygur
[693] forced
[667] #uflpa
[623] united
[530] xinjiang
[495] states

Top Words in Tweet in G1:
[342] #usa
[245] #forcedlabour
[225] #xinjiang
[177] united
[154] states
[146] forced
[135] labor
[132] #humanrights
[121] #uygur
[110] xinjiang

Top Words in Tweet in G2:
[124] #forcedlabour
[121] forced
[119] goods
[119] uyghur
[116] #uyghur
[115] companies
[113] labour
[111] banning
[109] countries
[109] today

Top Words in Tweet in G3:
[228] #usa
[173] china
[115] #xinjiang
[115] #forcedlabour
[113] #humanrights
[113] #uygur
[112] #uflpa
[111] forced
[111] labor
[99] united

Top Words in Tweet in G4:
[135] #usa
[126] actions
[68] #xinjiang
[68] #forcedlabour
[67] #humanrights
[67] #uygur
[67] #uflpa
[65] interests
[64] stability
[64] supply

Top Words in Tweet in G5:
[119] #usa
[60] #xinjiang
[60] #forcedlabour
[59] #humanrights
[59] #uygur
[59] #uflpa
[58] united
[58] states
[58] forced
[58] labor

Top Words in Tweet in G6:
[109] #usa
[106] chain
[55] #xinjiang
[55] #forcedlabour
[54] xinjiang
[54] #humanrights
[54] #uygur
[54] #uflpa
[54] stability
[54] supply

Top Words in Tweet in G7:
[117] #usa
[106] see
[59] #xinjiang
[59] #forcedlabour
[58] #humanrights
[58] #uygur
[57] #uflpa
[53] american
[53] society
[53] really

Top Words in Tweet in G8:
[114] #usa
[106] xinjiang
[105] rights
[57] #xinjiang
[57] #humanrights
[57] #forcedlabour
[57] #uygur
[56] #uflpa
[54] called
[54] united

Top Words in Tweet in G9:
[121] #usa
[108] forced
[61] #xinjiang
[61] #forcedlabour
[60] #humanrights
[60] #uygur
[59] #uflpa
[58] xinjiang
[56] labor
[56] united

Top Words in Tweet in G10:
[121] #usa
[61] #xinjiang
[61] #forcedlabour
[60] #humanrights
[60] #uygur
[59] #uflpa
[56] xinjiang
[56] china
[55] forced
[55] global

Top Word Pairs
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
Top Mentioned
Top Tweeters
Top Tweeters in Entire Graph:
@bivi_17
@net2ayurveda
@nomoreslaves
@icky_84
@alexblx
@rozali53
@twitemarti
@ireland
@_cosatu
@nayvethvizcaya

Top Tweeters in G1:
@ichinadian
@rachcsteele
@reddysalina
@naomiduguid
@tradelawyer
@intpolicydigest
@phraathit
@cibellecibelle
@_financialworld
@morchdr

Top Tweeters in G2:
@bivi_17
@net2ayurveda
@icky_84
@alexblx
@rozali53
@twitemarti
@ajphelo
@kazemakase13
@hrw
@masayan54xyz

Top Tweeters in G3:
@sompon34
@bmm02000071
@sevimozkan19
@nurcanaktas17
@ceydaisik5
@atriamnisa__
@elifkos96304178
@kemalgu14925771
@nv2gulcan_kol
@yilmazs28266552

Top Tweeters in G4:
@metince17378493
@khawfang_2209
@a3jsevvalcet_
@scorpion400000
@tipradsirisang
@paepassagorn
@bangxeiynu
@natthapongsukp1
@kyawlin94414086
@lewan23528734

Top Tweeters in G5:
@merveya52536234
@fohcicekmirayy
@ramazan10087715
@gozdeyi18074053
@baba01066286
@t9dbruft3akvvis
@aomam79717018
@gnwgfaeg8p3jjgz
@framemerrie1
@v1l4rfnxcbc29ax

Top Tweeters in G6:
@ibrahim39759071
@bcnsevdauygun98
@9fxbetulakgun__
@mey__308
@noo_angang_jj
@mongkhononae
@good_day46
@phut_ththi
@dew0870883650
@new05772559

Top Tweeters in G7:
@sibeltu50291075
@mudmeeheeyai
@guy05965572
@kampon1189
@iuna17281232
@jake41085596
@bank78115223
@5g5da9vsfvv1gv2
@praew71619818
@autty43447389

Top Tweeters in G8:
@pompam81426200
@rukiyeo96526413
@jam45949884
@onvwfwkqlcvdo8d
@uewbr5nq6kso0cz
@numwan39530531
@sweet47597021
@mongkol30980807
@nightt19962984
@2odlkhkpgdhjux9

Top Tweeters in G9:
@galaxyofmind1
@hnyssenabalci
@semakor95159697
@yusufko61004035
@butterkooper
@tit03745370
@ice77265327
@nv56is5uaij6nbo
@youuuuuumeee
@fah19028114

Top Tweeters in G10:
@boy_zazazaza
@oy6theyigi1
@7zgmelikeeaybar
@esrakap69396334
@sutansunee
@aungkyawtheing2
@nichaponnot
@narathi08305057
@3esoeebk4x2usxt
@mqi8ecjxmghyvek


Tags: