The graph represents a network of 557 Twitter users whose tweets in the requested range contained "#RightToRepair", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 19 December 2022 at 19:16 UTC.
The requested start date was Monday, 19 December 2022 at 01:01 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 13-day, 13-hour, 47-minute period from Monday, 05 December 2022 at 09:09 UTC to Sunday, 18 December 2022 at 22:56 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 : 557
Unique Edges : 490
Edges With Duplicates : 826
Total Edges : 1316
Number of Edge Types : 5
Mentions : 157
Retweet : 353
MentionsInRetweet : 591
Tweet : 179
Replies to : 36
Self-Loops : 184
Reciprocated Vertex Pair Ratio : 0.0325779036827195
Reciprocated Edge Ratio : 0.0631001371742112
Connected Components : 135
Single-Vertex Connected Components : 77
Maximum Vertices in a Connected Component : 301
Maximum Edges in a Connected Component : 963
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 4.14493
Graph Density : 0.00235395166810896
Modularity : 0.496726
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 557 Twitter users whose tweets in the requested range contained "#RightToRepair", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 19 December 2022 at 19:16 UTC.
The requested start date was Monday, 19 December 2022 at 01:01 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 13-day, 13-hour, 47-minute period from Monday, 05 December 2022 at 09:09 UTC to Sunday, 18 December 2022 at 22:56 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 : #RightToRepair
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:
[71] right,repair [33] #colorado's,#hb221031 [33] #hb221031,consumer [33] principle,animates [33] animates,#colorado's [33] #poweredwheelchairs,act [33] repair,#poweredwheelchairs [33] consumer,right [32] act,landmark [32] doctorow,principle Top Word Pairs in Tweet in G1:
[36] right,repair [33] repair,#poweredwheelchairs [33] consumer,right [33] animates,#colorado's [33] principle,animates [33] #hb221031,consumer [33] #colorado's,#hb221031 [33] #poweredwheelchairs,act [32] act,landmark [32] landmark,# Top Word Pairs in Tweet in G2:
[16] #righttorepair,law [15] govkathyhochul,#righttorepair [14] good,small [14] first,#righttorepair [14] good,jobs [14] businesses,good [14] nation's,first [14] small,businesses [14] yorkers,good [14] law,yorkers Top Word Pairs in Tweet in G3:
[13] #zenbook,#rog [13] #sav,#savasus [13] #asusfrance,#zenbook [13] #asus,#sav [13] #savasus,#asusfrance [12] #rog,#supportasus [11] #supportasus,#depannage [10] #support,#atelierasus [10] #reparation,#support [10] #depannage,#reparation Top Word Pairs in Tweet in G4:
[24] self,repair [12] scare,people [12] repair,programme [11] hype,apple's [11] countries,looks [11] service,uk [11] european,countries [11] looks,more [11] much,hype [11] eu,countries Top Word Pairs in Tweet in G5:
[7] safe,affordable [7] cars,quality [7] americans,#righttorepair [7] affordable,aftermarket [7] #righttorepair,cars [7] quality,safe [7] learn,more [7] aftermarket,parts [5] biz,planet [5] #righttorepair,game Top Word Pairs in Tweet in G6:
[3] electronics,#repairacts [3] point,maybe [3] elected,officials [3] everyone,breaks [3] greater,consumer [3] started,showing [3] phone,spilled [3] auto,#aftermarket [3] preparing,#ev [3] levels,important Top Word Pairs in Tweet in G8:
[4] consumers,realise [4] environmental,effects [4] consumption,habits [4] effects,eu [4] realise,consumption [4] 3rds,eu [4] eu,helping [4] eu,consumers [4] negative,environmental [4] habits,negative Top Word Pairs in Tweet in G9:
[6] jipitec,article [6] year,recently [6] published,earlier [6] recently,wrote [6] wrote,blog [6] article,published [6] based,jipitec [6] blog,#kluwercopyrightblog [6] earlier,year [5] #kluwercopyrightblog,fo Top Word Pairs in Tweet in G10:
[7] #copyright,exception [7] lesser,known [7] #righttorepair,exploring [7] infosoc,directive [7] boundaries,lesser [7] directive,#righttorepair [7] exploring,boundaries [7] known,#copyright [6] exception,arosboro [6] jpquintais,infosoc Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G4:
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Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G6:
Top Mentioned in G7:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G5:
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Top Tweeters in G9:
Top Tweeters in G10: