The graph represents a network of 1,300 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, 27 October 2020 at 15:23 UTC.
The requested start date was Monday, 26 October 2020 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, 20-hour, 19-minute period from Monday, 12 October 2020 at 01:55 UTC to Sunday, 25 October 2020 at 22:15 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 : 1300
Unique Edges : 685
Edges With Duplicates : 2718
Total Edges : 3403
Number of Edge Types : 5
Replies to : 73
Mentions : 288
MentionsInRetweet : 1481
Tweet : 357
Retweet : 1204
Self-Loops : 378
Reciprocated Vertex Pair Ratio : 0.0276555625392835
Reciprocated Edge Ratio : 0.053822629969419
Connected Components : 160
Single-Vertex Connected Components : 101
Maximum Vertices in a Connected Component : 987
Maximum Edges in a Connected Component : 2981
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.915067
Graph Density : 0.000968200390833185
Modularity : 0.425489
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 1,300 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, 27 October 2020 at 15:23 UTC.
The requested start date was Monday, 26 October 2020 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, 20-hour, 19-minute period from Monday, 12 October 2020 at 01:55 UTC to Sunday, 25 October 2020 at 22:15 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:
[301] repaired,phones [301] phones,held [301] held,year [301] year,longer [301] longer,average [301] average,emissions [295] emissions,reductions [295] reductions,equivalent [283] storyofstuff,repaired [104] right,repair Top Word Pairs in Tweet in G1:
[275] repaired,phones [275] phones,held [275] held,year [275] year,longer [275] longer,average [275] average,emissions [275] emissions,reductions [275] reductions,equivalent [274] storyofstuff,repaired [2] equivalent,taking Top Word Pairs in Tweet in G2:
[20] americans,extend [20] extend,life [20] life,cellphones [20] cellphones,one [20] one,yr [20] yr,instance [20] instance,climate [20] climate,saving [19] nproctor,americans [19] saving,equivalent Top Word Pairs in Tweet in G3:
[36] repair,essential [33] day,#repairday [33] #repairday,today [33] today,very [33] very,happy [33] happy,celebrate [33] celebrate,#heroesofrepair [33] #heroesofrepair,give [33] give,stuff [33] stuff,second Top Word Pairs in Tweet in G4:
[15] right,repair [4] ballot,question [4] wuxinji,dongle [4] dongle,software [4] software,give [4] give,right [4] repair,diy [4] diy,iphone [4] iphone,smartphone [4] smartphone,circuit Top Word Pairs in Tweet in G5:
[19] need,manufacturers [19] manufacturers,ensure [19] ensure,#solar [19] #solar,lights [19] lights,repaired [19] repaired,help [19] spare,parts [18] solaraid,need [18] help,provide [18] provide,access Top Word Pairs in Tweet in G6:
[36] #righttorepair,movement [27] #askthemarkup,#righttorepair [26] wrote,#askthemarkup [26] movement,despite [26] despite,intense [26] intense,lobbying [26] lobbying,basically [26] basically,big [26] big,tech [21] tech,company Top Word Pairs in Tweet in G7:
[30] during,#covid19 [27] focus,efforts [27] efforts,recognise [27] recognise,#righttorepair [27] #righttorepair,during [27] #covid19,crisis [27] crisis,see [27] see,ronwyden's [27] ronwyden's,bill [26] drrimmer,focus Top Word Pairs in Tweet in G8:
[10] fully,working [10] working,ipads [10] ipads,going [10] going,families [10] families,need [10] need,scrapped [10] scrapped,instead [10] instead,activation [9] rdklinc,fully [6] international,repair Top Word Pairs in Tweet in G9:
[29] speaking,allowing [29] allowing,establishment [29] establishment,monopolies [29] monopolies,high [29] high,dollar [29] dollar,lobbyist [29] lobbyist,over [29] over,above [29] above,citizenry [29] citizenry,#righttorepair Top Word Pairs in Tweet in G10:
[6] ballot,question [6] #techrepair,industry [5] #electionday,mass [5] mass,voters [5] voters,weigh [5] weigh,ballot [5] question,expands [5] expands,state [5] state,#righttorepair [5] #righttorepair,law Top Replied-To in Entire Graph:
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Top Replied-To in G5:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: