The graph represents a network of 1,183 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, 02 November 2021 at 17:31 UTC.
The requested start date was Monday, 01 November 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, 22-hour, 26-minute period from Monday, 18 October 2021 at 00:59 UTC to Sunday, 31 October 2021 at 23:25 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 : 1183
Unique Edges : 819
Edges With Duplicates : 1505
Total Edges : 2324
Number of Edge Types : 5
Replies to : 142
Retweet : 619
MentionsInRetweet : 846
Mentions : 384
Tweet : 333
Self-Loops : 357
Reciprocated Vertex Pair Ratio : 0.0339123242349049
Reciprocated Edge Ratio : 0.0656
Connected Components : 265
Single-Vertex Connected Components : 138
Maximum Vertices in a Connected Component : 499
Maximum Edges in a Connected Component : 1295
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 4.774311
Graph Density : 0.00089393880881581
Modularity : 0.530675
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 1,183 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, 02 November 2021 at 17:31 UTC.
The requested start date was Monday, 01 November 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, 22-hour, 26-minute period from Monday, 18 October 2021 at 00:59 UTC to Sunday, 31 October 2021 at 23:25 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:
[140] right,repair [35] animated,video [35] video,fight [35] fight,repair [34] repair,crucial [34] crucial,free [34] free,future [34] future,illustrated [34] illustrated,animated [34] repair,join Top Word Pairs in Tweet in G1:
[17] right,repair [7] #righttorepair,#circulareconomy [7] #circulareconomy,#righttorepair [7] hi,seeking [7] seeking,always [7] always,learning [7] learning,repair [7] repair,manual [7] manual,tweet [7] tweet,click Top Word Pairs in Tweet in G2:
[25] right,repair [23] brian,chen [23] chen,nytimes [23] nytimes,finance [23] finance,math [23] math,replacing [23] replacing,phones [23] phones,year [23] year,waiting [23] waiting,years Top Word Pairs in Tweet in G3:
[22] planet,need [21] 2nd,highest [21] highest,producers [21] producers,waste [21] waste,world [21] world,person [21] person,wasting [21] wasting,money [21] money,wrecking [21] wrecking,planet Top Word Pairs in Tweet in G4:
[21] disposable,tech [21] tech,part [21] part,big [21] big,tech [21] tech,business [21] business,model [21] model,engineer [21] engineer,fighting [21] fighting,back [21] back,creating Top Word Pairs in Tweet in G5:
[4] austdems,really [4] really,impressed [4] impressed,good [4] good,thoughtful [4] thoughtful,content [4] content,coming [4] coming,austdems [4] austdems,keep [4] keep,great [4] great,work Top Word Pairs in Tweet in G6:
[5] mkbhd,snapdragon [5] snapdragon,agree [5] agree,here's [5] here's,exactly [5] exactly,qualcomm [5] qualcomm,prevents [5] prevents,schematics [5] schematics,being [5] being,released [5] released,qualcomm Top Word Pairs in Tweet in G7:
[9] 10,eu_commission [9] recycling,devices [9] devices,helps [9] helps,rid [9] rid,device [9] device,manufacturer [9] manufacturer,ready [9] ready,make [9] make,one [8] tired,changing Top Word Pairs in Tweet in G8:
[20] drm,breaking [15] breaking,exemptions [12] exemptions,dropped [12] dropped,doctorow [12] doctorow,#r2r [12] #r2r,#righttorepair [11] robbielink,drm [11] hymn,#righttorepair [11] #righttorepair,service [11] service,frustrating Top Word Pairs in Tweet in G9:
[13] big,win [12] win,#righttorepair [11] #righttorepair,dmca [11] dmca,1201 [11] 1201,triennial [11] triennial,review [11] review,report [11] report,publicknowledge [11] publicknowledge,katmburke [11] katmburke,statement Top Word Pairs in Tweet in G10:
[7] watermelongames,xluis__martinsx [6] responding,dmca [6] dmca,takedown [6] takedown,watermelongames [6] xluis__martinsx,shortly [6] shortly,#righttorepair [5] arcade_projects,responding [2] the_hpman,bionicgerm [2] bionicgerm,paprium_fiasco [2] paprium_fiasco,capcomusa_ Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
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Top Mentioned in G6:
Top Mentioned in G7:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G9:
Top Tweeters in G10: