The graph represents a network of 3,239 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 Wednesday, 15 May 2019 at 04:39 UTC.
The requested start date was Monday, 13 May 2019 at 00:01 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, 23-hour, 4-minute period from Monday, 29 April 2019 at 00:34 UTC to Sunday, 12 May 2019 at 23:38 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 : 3239
Unique Edges : 4017
Edges With Duplicates : 598
Total Edges : 4615
Number of Edge Types : 3
Tweet : 464
Mentions : 4051
Replies to : 100
Self-Loops : 464
Reciprocated Vertex Pair Ratio : 0.0108723789800673
Reciprocated Edge Ratio : 0.0215108834827145
Connected Components : 280
Single-Vertex Connected Components : 191
Maximum Vertices in a Connected Component : 2773
Maximum Edges in a Connected Component : 4095
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.205832
Graph Density : 0.00037233447134512
Modularity : 0.655977
NodeXL Version : 1.0.1.412
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[1838] #righttorepair,legislation [1697] hurt,themselves [1678] telling,lawmakers [1673] apple,killed [1673] killed,#righttorepair [1672] lawmakers,consumers [1672] consumers,hurt [1671] legislation,california [1671] california,telling [1670] kaykayclapp,apple Top Word Pairs in Tweet in G1:
[1618] #righttorepair,legislation [1605] apple,killed [1605] killed,#righttorepair [1605] legislation,california [1605] california,telling [1605] telling,lawmakers [1605] lawmakers,consumers [1605] consumers,hurt [1605] hurt,themselves [1604] kaykayclapp,apple Top Word Pairs in Tweet in G2:
[71] #righttorepair,bill [55] #righttorepair,legislation [53] hurt,themselves [49] telling,lawmakers [46] kaykayclapp,apple [46] apple,killed [46] killed,#righttorepair [46] legislation,california [46] california,telling [46] lawmakers,consumers Top Word Pairs in Tweet in G3:
[230] top,tech [230] tech,site [230] site,applauding [230] applauding,#righttorepair [230] #righttorepair,inclusion [230] inclusion,#bernie2020 [230] #bernie2020,ag [230] ag,rural [230] rural,platform [229] bern_identity,top Top Word Pairs in Tweet in G4:
[128] #righttorepair,legislation [109] voted,down [105] fordnation,pcs [105] pcs,voted [105] down,#righttorepair [105] legislation,keeping [105] keeping,place [105] place,unfair [105] unfair,monopoly [105] monopoly,forces Top Word Pairs in Tweet in G5:
[33] right,repair [21] support,#righttorepair [20] write,letter [20] letter,state [20] state,rep [20] rep,here [14] #righttorepair,ca [14] ca,write [11] repair,bill [9] #freytechnology,#chambersburg Top Word Pairs in Tweet in G6:
[153] one,more [153] more,underrated [153] underrated,elements [153] elements,berniesanders' [153] berniesanders',farm [153] farm,rural [153] rural,policy [153] policy,platform [153] platform,rolled [153] rolled,out Top Word Pairs in Tweet in G7:
[11] #righttorepair,legislation [8] yes,yes [8] yes,true [8] true,man [8] man,sensanders [8] sensanders,endorsed [8] endorsed,#righttorepair [8] legislation,idea [7] maximillian_alv,yes [7] idea,thebaffle Top Word Pairs in Tweet in G8:
[13] great,scott [13] june,7 [13] 7,8 [13] 8,9 [13] 9,2019 [13] 2019,silverstone [13] silverstone,tickets [13] ðÿ,ž [12] #fullychargedlive,ðÿ [11] newelectricirl,great Top Word Pairs in Tweet in G9:
[6] take,role [6] role,online [6] online,very [6] very,seriously [6] seriously,turn [6] turn,down [6] down,lot [6] lot,opportunities [6] opportunities,company [6] company,align Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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