The graph represents a network of 1,386 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, 09 August 2021 at 17:32 UTC.
The requested start date was Monday, 09 August 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, 23-hour, 8-minute period from Monday, 26 July 2021 at 00:31 UTC to Sunday, 08 August 2021 at 23:39 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 : 1386
Unique Edges : 1010
Edges With Duplicates : 1517
Total Edges : 2527
Number of Edge Types : 5
Tweet : 365
Retweet : 614
MentionsInRetweet : 856
Replies to : 137
Mentions : 555
Self-Loops : 387
Reciprocated Vertex Pair Ratio : 0.0284879474068663
Reciprocated Edge Ratio : 0.0553977272727273
Connected Components : 317
Single-Vertex Connected Components : 162
Maximum Vertices in a Connected Component : 485
Maximum Edges in a Connected Component : 1205
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.794679
Graph Density : 0.000733482321929975
Modularity : 0.560049
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 1,386 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, 09 August 2021 at 17:32 UTC.
The requested start date was Monday, 09 August 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, 23-hour, 8-minute period from Monday, 26 July 2021 at 00:31 UTC to Sunday, 08 August 2021 at 23:39 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:
[180] right,repair [99] #righttorepair,extended [99] extended,computers [99] computers,smartphones [99] smartphones,#skillsbill [99] #skillsbill,needs [99] needs,far [99] far,more [99] more,focused [98] natalieben,#righttorepair Top Word Pairs in Tweet in G1:
[22] right,repair [5] need,#righttorepair [5] hi,seeking [5] seeking,always [5] always,learning [5] learning,repair [5] repair,manual [5] manual,tweet [5] tweet,click [5] click,link Top Word Pairs in Tweet in G2:
[99] #righttorepair,extended [99] extended,computers [99] computers,smartphones [99] smartphones,#skillsbill [99] #skillsbill,needs [99] needs,far [99] far,more [99] more,focused [98] natalieben,#righttorepair [98] focused,#greeneconom Top Word Pairs in Tweet in G3:
[94] stopping,fixing [94] fixing,devices [94] devices,costing [94] costing,money [94] money,hurting [93] manufacturers,stopping [93] hurting,environment [91] environment,putting [89] putting,lives [89] lives,risk Top Word Pairs in Tweet in G4:
[15] uspirg,nproctor [14] right,repair [13] need,#righttorepair [12] support,#righttorepair [11] #righttorepair,#zerowaste [11] #zerowaste,#reduce [11] alexctruelove,kevin_oreilly7 [11] #righttorepair,uspirg [10] repair,stuff [9] much,stuff Top Word Pairs in Tweet in G5:
[15] apple,#righttorepair [5] #righttorepair,#uprootthesystem [4] right,repair [3] user,upgradable [3] pleased,way [3] way,s10 [3] s10,battery [3] battery,replacement [3] replacement,turned [3] turned,daily Top Word Pairs in Tweet in G6:
[17] fair,repair [15] discuss,fair [15] repair,act [13] joining,friend [13] friend,reprokhanna [13] act,important [12] important,small [7] excited,joining [7] reprokhanna,tomorrow [7] tomorrow,discuss Top Word Pairs in Tweet in G7:
[11] restartproject,absolutely [11] absolutely,awesome [11] awesome,organisation [11] organisation,impactful [11] impactful,comes [11] comes,reducing [11] reducing,waste [10] hanopcan,restartproject [9] waste,drivingâ [8] #righttorepair,people Top Word Pairs in Tweet in G8:
[12] study,campaign [12] campaign,member [12] member,greenallianceuk [12] greenallianceuk,finds [12] finds,prioritising [12] prioritising,repair [12] repair,reuse [12] reuse,manufactured [12] manufactured,goods [12] goods,uk Top Word Pairs in Tweet in G9:
[11] productivity,commission [9] right,repair [6] wish,expose [6] schools,destroy [6] destroy,thousands [6] thousands,computers [6] computers,failing [6] failing,manage [5] menditaussie,mend [5] expose,corporations Top Word Pairs in Tweet in G10:
[3] framework,laptop [3] completely,upgradeable [3] upgradeable,laptop [2] more,#righttorepair [2] main,channel [2] laptop,frameworkputer [2] elonmusk,#righttorepair [2] mondobytes,tesla [2] tesla,#righttorepair [2] much,love Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G5:
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 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:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: