The graph represents a network of 1,085 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 Tuesday, 17 November 2020 at 16:24 UTC.
The requested start date was Monday, 16 November 2020 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, 20-hour, 59-minute period from Monday, 02 November 2020 at 01:52 UTC to Sunday, 15 November 2020 at 22:52 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 : 1085
Unique Edges : 732
Edges With Duplicates : 1665
Total Edges : 2397
Number of Edge Types : 5
Replies to : 97
Mentions : 384
Retweet : 687
MentionsInRetweet : 854
Tweet : 375
Self-Loops : 404
Reciprocated Vertex Pair Ratio : 0.0275862068965517
Reciprocated Edge Ratio : 0.0536912751677852
Connected Components : 218
Single-Vertex Connected Components : 134
Maximum Vertices in a Connected Component : 680
Maximum Edges in a Connected Component : 1900
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.402017
Graph Density : 0.00101348478922577
Modularity : 0.460959
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 1,085 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 Tuesday, 17 November 2020 at 16:24 UTC.
The requested start date was Monday, 16 November 2020 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, 20-hour, 59-minute period from Monday, 02 November 2020 at 01:52 UTC to Sunday, 15 November 2020 at 22:52 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:
[129] right,repair [81] obviously,lot [81] lot,stuff [81] stuff,ballot [81] ballot,nov [81] nov,massachusetts [81] massachusetts,chance [81] chance,vote [81] vote,#righttorepair [80] doctorow,obviously Top Word Pairs in Tweet in G1:
[17] right,repair [7] car,data [5] wuxinji,dongle [5] dongle,software [5] software,give [5] give,right [5] repair,diy [5] diy,iphone [5] iphone,smartphone [5] smartphone,circuit Top Word Pairs in Tweet in G2:
[79] obviously,lot [79] lot,stuff [79] stuff,ballot [79] ballot,nov [79] nov,massachusetts [79] massachusetts,chance [79] chance,vote [78] doctorow,obviously [78] vote,#righttorepair [12] righttorepairma,thanks Top Word Pairs in Tweet in G3:
[21] correct,details [21] details,ecodesign [21] ecodesign,energy [21] energy,labelling [17] labelling,rules [12] european,commission [12] commission,correct [10] #apple,#righttorepair [9] #righttorepair,#apple [9] #apple,#aapl Top Word Pairs in Tweet in G4:
[22] right,repair [14] #techrepair,industry [11] more,control [10] impressive,50 [10] 50,pt [10] pt,win [10] win,question [10] question,massachusetts [10] massachusetts,allow [10] allow,car Top Word Pairs in Tweet in G5:
[48] weâ,re [48] question,one [47] re,calling [47] calling,massachusetts [47] massachusetts,question [47] one,passed [47] passed,75 [47] 75,popular [47] popular,vote [47] vote,advanced Top Word Pairs in Tweet in G6:
[47] right,repair [14] repair,australia [10] repair,law [10] #auslaw,#auspol [10] drrimmer,right [10] ink,stained [10] stained,wretches [10] wretches,battle [10] battle,soul [10] soul,digital Top Word Pairs in Tweet in G7:
[8] assaf,harel [7] classic,example [7] example,waste [7] waste,generating [7] generating,culture [7] culture,cost [7] cost,part [7] part,exceeds [7] exceeds,cost [7] cost,unit Top Word Pairs in Tweet in G8:
[26] electric,car [15] #recycle,#upcycle [11] remember,folks [11] smart,enough [10] #opensource,#electricvehicles [9] #electricvehicles,#righttorepair [9] 2000,euro [9] euro,deliver [9] deliver,practical [9] practical,electric Top Word Pairs in Tweet in G9:
[9] good,news [9] shoddy,products [8] need,definitely [8] definitely,good [8] news,right [8] right,people [8] people,masschusetts [8] masschusetts,voted [8] voted,overwhelmingly [8] overwhelmingly,favour Top Word Pairs in Tweet in G10:
[6] right,repair [4] many,coffee [4] coffee,machines [4] machines,ended [4] ended,landfill [4] landfill,waste [4] waste,bins [4] bins,result [4] result,need [4] need,secondhand Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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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: