The graph represents a network of 1,495 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, 10 May 2021 at 17:32 UTC.
The requested start date was Monday, 10 May 2021 at 00:01 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, 21-hour, 30-minute period from Monday, 26 April 2021 at 00:30 UTC to Sunday, 09 May 2021 at 22:01 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 : 1495
Unique Edges : 1247
Edges With Duplicates : 2246
Total Edges : 3493
Number of Edge Types : 5
Replies to : 164
Mentions : 514
Tweet : 503
MentionsInRetweet : 1376
Retweet : 936
Self-Loops : 535
Reciprocated Vertex Pair Ratio : 0.0270867882808181
Reciprocated Edge Ratio : 0.0527448869752422
Connected Components : 348
Single-Vertex Connected Components : 232
Maximum Vertices in a Connected Component : 905
Maximum Edges in a Connected Component : 2694
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 4.302557
Graph Density : 0.000831867044543839
Modularity : 0.473836
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 1,495 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, 10 May 2021 at 17:32 UTC.
The requested start date was Monday, 10 May 2021 at 00:01 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, 21-hour, 30-minute period from Monday, 26 April 2021 at 00:30 UTC to Sunday, 09 May 2021 at 22:01 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:
[148] right,repair [95] #righttorepair,legislation [64] dare,repair [61] apple,killed [61] killed,#righttorepair [61] legislation,california [61] california,telling [61] telling,lawmakers [61] lawmakers,consumers [61] consumers,hurt Top Word Pairs in Tweet in G1:
[31] right,repair [22] support,#righttorepair [18] write,letter [18] letter,state [18] state,rep [11] #righttorepair,ca [11] ca,write [8] let's,right [8] repair,passed [6] passed,#righttorepair Top Word Pairs in Tweet in G2:
[48] nearly,two [48] two,years [48] years,ftc's [48] ftc's,#nixingthefix [48] #nixingthefix,workshop [48] workshop,corporations [48] corporations,sabotage [48] sabotage,#righttorepair [47] doctorow,nearly [47] #righttorepair,fina Top Word Pairs in Tweet in G3:
[57] dare,repair [39] right,repair [37] bbc,radio [32] need,right [27] #righttorepair,uk [24] great,series [24] episode,#righttorepair [23] heard,#righttorepair [23] uk,measures [23] measures,start Top Word Pairs in Tweet in G4:
[12] ftc,report [12] incentivizing,people [12] people,purchase [12] purchase,product [12] product,fix [12] fix,old [12] old,one [12] one,companies [12] companies,trade [12] trade,higher Top Word Pairs in Tweet in G5:
[18] mkbhd,#righttorepair [8] sent,email [8] email,mkbhd [8] #righttorepair,wish [8] wish,luck [8] luck,know [8] know,electronics [8] electronics,manufacturers [8] fully,working [8] working,ipads Top Word Pairs in Tweet in G6:
[61] apple,killed [61] killed,#righttorepair [61] #righttorepair,legislation [61] legislation,california [61] california,telling [61] telling,lawmakers [61] lawmakers,consumers [61] consumers,hurt [61] hurt,themselves [60] kaykayclapp,apple Top Word Pairs in Tweet in G7:
[9] right,repair [8] youtube,#righttorepair [6] tgiovanetti,wsjopinion [5] repair,youtube [3] small,repair [3] repair,businesses [3] servis,myčky [3] myčky,nádobí [3] nádobí,náhradní [3] náhradní,díl Top Word Pairs in Tweet in G8:
[13] wonder,many [13] many,junkyards [13] junkyards,star [13] star,wars [13] wars,universe [13] universe,wrote [13] wrote,rey [12] adamminter,wonder [11] australian,consumers [10] #auslaw,#auspol Top Word Pairs in Tweet in G9:
[39] repair,manuals [38] internetarchive,dunno [38] dunno,pass [38] pass,#righttorepair [38] #righttorepair,gain [38] gain,legal [38] legal,access [38] access,repair [37] gamerguy287,internetarchive [37] manuals,manufactur Top Word Pairs in Tweet in G10:
[18] rbkgreens,#righttorepair [16] #righttorepair,something [16] something,sianberry [16] sianberry,thegreenparty [16] thegreenparty,strongly [16] strongly,believe [16] believe,waste [16] waste,repair [15] #votegreen2021,today [15] today,#greenfuture Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
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Top Replied-To in G5:
Top Replied-To in G7:
Top Replied-To in G8:
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:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: