The graph represents a network of 980 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, 16 November 2020 at 16:23 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 12-day, 7-hour, 30-minute period from Monday, 02 November 2020 at 01:52 UTC to Saturday, 14 November 2020 at 09:23 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 : 980
Unique Edges : 670
Edges With Duplicates : 1467
Total Edges : 2137
Number of Edge Types : 5
Retweet : 599
MentionsInRetweet : 755
Mentions : 348
Replies to : 89
Tweet : 346
Self-Loops : 373
Reciprocated Vertex Pair Ratio : 0.0268714011516315
Reciprocated Edge Ratio : 0.0523364485981308
Connected Components : 201
Single-Vertex Connected Components : 127
Maximum Vertices in a Connected Component : 613
Maximum Edges in a Connected Component : 1693
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.492416
Graph Density : 0.00111525713451877
Modularity : 0.475296
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 980 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, 16 November 2020 at 16:23 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 12-day, 7-hour, 30-minute period from Monday, 02 November 2020 at 01:52 UTC to Saturday, 14 November 2020 at 09:23 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:
[107] right,repair [58] obviously,lot [58] lot,stuff [58] stuff,ballot [58] ballot,nov [58] nov,massachusetts [58] massachusetts,chance [58] chance,vote [58] vote,#righttorepair [57] 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:
[38] right,repair [14] repair,australia [10] #auslaw,#auspol [10] drrimmer,right [10] ink,stained [10] stained,wretches [10] wretches,battle [10] battle,soul [10] soul,digital [10] digital,freedom Top Word Pairs in Tweet in G3:
[20] right,repair [13] #techrepair,industry [12] more,control [11] impressive,50 [11] 50,pt [11] pt,win [11] win,question [11] question,massachusetts [11] massachusetts,allow [11] allow,car Top Word Pairs in Tweet in G4:
[21] correct,details [21] details,ecodesign [21] ecodesign,energy [21] energy,labelling [17] labelling,rules [12] european,commission [12] commission,correct [11] member,states [10] good,news [9] need,definitely Top Word Pairs in Tweet in G5:
[57] obviously,lot [57] lot,stuff [57] stuff,ballot [57] ballot,nov [57] nov,massachusetts [57] massachusetts,chance [57] chance,vote [56] doctorow,obviously [56] vote,#righttorepair [11] righttorepairma,thanks Top Word Pairs in Tweet in G6:
[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 G7:
[9] little,bit [9] bit,good [9] good,news [9] news,#righttorepair [8] medus4_cdc,little [8] assaf,harel [6] great,momentum [6] momentum,#righttorepair [6] #righttorepair,legislation [6] legislation,moving Top Word Pairs in Tweet in G8:
[22] electric,car [14] #recycle,#upcycle [10] #opensource,#electricvehicles [9] #electricvehicles,#righttorepair [9] remember,folks [9] smart,enough [8] #righttorepair,#electricvehicles [8] 2000,euro [8] euro,deliver [8] deliver,practical Top Word Pairs in Tweet in G9:
[2] massachusetts,voters [2] voters,pass [2] pass,right [2] right,repair [2] repair,expansion [2] expansion,opening [2] opening,car [2] car,data [2] data,engadget Top Word Pairs in Tweet in G10:
[16] tell,eff [16] eff,right [16] right,modify [16] modify,repair [16] repair,#righttorepair [16] #righttorepair,eff [13] adafruit,tell Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
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Top Tweeters in G5:
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Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: