The graph represents a network of 703 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, 10 August 2020 at 14:30 UTC.
The requested start date was Monday, 10 August 2020 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, 17-hour, 3-minute period from Monday, 27 July 2020 at 05:06 UTC to Sunday, 09 August 2020 at 22:09 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 : 703
Unique Edges : 548
Edges With Duplicates : 1278
Total Edges : 1826
Number of Edge Types : 5
Retweet : 540
MentionsInRetweet : 817
Mentions : 262
Replies to : 36
Tweet : 171
Self-Loops : 188
Reciprocated Vertex Pair Ratio : 0.018348623853211
Reciprocated Edge Ratio : 0.036036036036036
Connected Components : 89
Single-Vertex Connected Components : 54
Maximum Vertices in a Connected Component : 487
Maximum Edges in a Connected Component : 1547
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.757308
Graph Density : 0.00202429149797571
Modularity : 0.455506
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 703 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, 10 August 2020 at 14:30 UTC.
The requested start date was Monday, 10 August 2020 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, 17-hour, 3-minute period from Monday, 27 July 2020 at 05:06 UTC to Sunday, 09 August 2020 at 22:09 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:
[74] internal,debate [73] reveal,internal [65] internal,apple [65] #righttorepair,ifixit [64] right,repair [64] someone,leaked [64] leaked,internal [64] apple,email [64] email,exchanges [64] exchanges,#righttorepair Top Word Pairs in Tweet in G1:
[65] reveal,internal [65] internal,debate [59] someone,leaked [59] leaked,internal [59] internal,apple [59] apple,email [59] email,exchanges [59] exchanges,#righttorepair [59] #righttorepair,ifixit [59] ifixit,reveal Top Word Pairs in Tweet in G2:
[42] repair,strategy [28] apple,wondering [28] wondering,internally [15] strategy,apple [15] last,week [15] week,heard [15] heard,apple [15] internally,repair [15] strategy,week [15] week,react Top Word Pairs in Tweet in G3:
[30] ronwyden,repyvetteclarke [21] #righttorepair,medical [17] breaking,ronwyden [17] repyvetteclarke,introduced [17] introduced,federal [17] federal,legislation [17] legislation,give [17] give,biomeds [17] biomeds,#righttorepair [16] kevin_oreilly7,breaking Top Word Pairs in Tweet in G4:
[4] right,repair [4] vote,yes [4] yes,question [3] independent,repair [3] #mapoli,#righttorepair [2] know,right [2] repair,coalition [2] coalition,over [2] over,000 [2] 000,members Top Word Pairs in Tweet in G5:
[4] right,repair [3] repair,#righttorepair [3] tv,screen [3] fix,yourself [2] save,money [2] vote,yes [2] covid,19 [2] reveal,internal [2] internal,debate [2] louis,rossmann Top Word Pairs in Tweet in G6:
[6] right,repair [3] enacting,legal [3] legal,penalties [3] penalties,bypassing [3] bypassing,tpms [3] tpms,gift [3] gift,company [3] company,seeking [3] seeking,control [3] control,repairs Top Word Pairs in Tweet in G7:
[26] #righttorepair,literally [26] literally,life [26] life,death [25] airbornesurfer,#righttorepair Top Word Pairs in Tweet in G8:
[14] comes,repairing [14] repairing,equipment [14] equipment,rural [14] rural,america [14] america,needs [14] needs,options [14] options,week [14] week,commerce [14] commerce,hearing [14] hearing,made Top Word Pairs in Tweet in G9:
[14] #righttorepair,#circulareconomy [11] repeat,share [11] electric,car [11] car,knowledge [11] #opensource,#righttorepair [9] share,electric [9] newelectricirl,repeat [8] knowledge,œðÿ [8] œðÿ,#opensource [7] #circulareconomy,#greennewdealâ Top Word Pairs in Tweet in G10:
[15] goshcommunity,africaosh [13] share,think [13] think,important [13] important,open [13] open,science [13] science,hw [13] hw,people [13] people,goshcommunity [12] cassandreces,share [11] africaosh,teclivreslatin Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
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Top Tweeters in G10: