The graph represents a network of 629 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, 11 November 2019 at 15:41 UTC.
The requested start date was Monday, 11 November 2019 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 13-day, 22-hour, 46-minute period from Monday, 28 October 2019 at 01:30 UTC to Monday, 11 November 2019 at 00:17 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 : 629
Unique Edges : 873
Edges With Duplicates : 308
Total Edges : 1181
Number of Edge Types : 3
Mentions : 924
Replies to : 58
Tweet : 199
Self-Loops : 199
Reciprocated Vertex Pair Ratio : 0.0426829268292683
Reciprocated Edge Ratio : 0.0818713450292398
Connected Components : 118
Single-Vertex Connected Components : 71
Maximum Vertices in a Connected Component : 341
Maximum Edges in a Connected Component : 837
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.767308
Graph Density : 0.00216449120533047
Modularity : 0.615357
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 629 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, 11 November 2019 at 15:41 UTC.
The requested start date was Monday, 11 November 2019 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 13-day, 22-hour, 46-minute period from Monday, 28 October 2019 at 01:30 UTC to Monday, 11 November 2019 at 00:17 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 : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[62] ve,discussed [62] discussed,#righttorepair [62] #righttorepair,recently [62] recently,think [62] think,lot [62] lot,people [62] people,know [62] know,work [62] work,fighting [62] fighting,image Top Word Pairs in Tweet in G1:
[38] according,another [38] another,article [38] article,vice [38] vice,ifixit [38] ifixit,takes [38] takes,295lbs [38] 295lbs,raw [38] raw,material [38] material,water [38] water,make Top Word Pairs in Tweet in G2:
[29] henrik,huseby [29] huseby,cover [29] cover,cost [29] help,defend [29] defend,indie [17] eu,people [17] people,retain [17] retain,#righttorepair [17] #righttorepair,new [17] new,law Top Word Pairs in Tweet in G3:
[62] ve,discussed [62] discussed,#righttorepair [62] #righttorepair,recently [62] recently,think [62] think,lot [62] lot,people [62] people,know [62] know,work [62] work,fighting [62] fighting,image Top Word Pairs in Tweet in G4:
[6] right,repair [6] #unitoodailynews,#ifixit [6] #ifixit,#hardware [6] #hardware,#righttorepair [6] #righttorepair,#diy [3] airpods,pro [3] jessa,jones [3] #righttorepair,legislation [2] repair,tech [2] cellphones,throwaways Top Word Pairs in Tweet in G5:
[12] tharoldschaefer,environmentmn [12] environmentmn,alagrangeceo [8] group,group [8] group,advocates [8] advocates,#righttorepair [8] #righttorepair,mn [8] mn,tharoldschaefer [8] alagrangeceo,et [8] et,doing [8] reuse,conference Top Word Pairs in Tweet in G6:
[17] logo,mod [15] new,screen [12] 250,nzd [12] nzd,150 [12] 150,usd [12] usd,ish [12] iphone,x [11] couple,days [11] days,later [11] later,logo Top Word Pairs in Tweet in G7:
[4] e,waste [4] repair,certification [4] google,comcast [3] eu,declares [3] declares,war [3] war,e [3] #repairshop,certification [2] repair,#righttorepair [2] repair,bill [2] right,repair Top Word Pairs in Tweet in G8:
[7] #freytechnology,#chambersburg [7] #chambersburg,#chambersburgpa [7] #chambersburgpa,#repair [7] #repair,#repairshop [7] #repairshop,#righttorepair [6] replacement,#freytechnology [6] check,out [6] #neverapple,#righttorepair [5] screen,replacement [4] isn,t Top Word Pairs in Tweet in G9:
[12] want,#righttorepair [10] canada,want [10] sign,openmediaorg's [10] openmediaorg's,petition [10] petition,calling [8] ifixit,hey [8] hey,canada [8] #righttorepair,eh [8] eh,sign [8] calling,legislation Top Word Pairs in Tweet in G10:
[5] effectively,impossible [5] impossible,repair [5] repair,new [5] new,airpods [5] airpods,replace [5] replace,batteries [5] batteries,wear [5] wear,out [4] uspirg,effectively [4] out,#righttorepair 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 G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
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 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: