The graph represents a network of 1,317 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, 06 July 2020 at 13:34 UTC.
The requested start date was Monday, 06 July 2020 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, 11-hour, 35-minute period from Monday, 22 June 2020 at 00:19 UTC to Sunday, 05 July 2020 at 11:55 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 : 1317
Unique Edges : 378
Edges With Duplicates : 2518
Total Edges : 2896
Number of Edge Types : 5
MentionsInRetweet : 1323
Replies to : 46
Retweet : 1191
Tweet : 172
Mentions : 164
Self-Loops : 181
Reciprocated Vertex Pair Ratio : 0.0160839160839161
Reciprocated Edge Ratio : 0.0316586373021335
Connected Components : 98
Single-Vertex Connected Components : 46
Maximum Vertices in a Connected Component : 1095
Maximum Edges in a Connected Component : 2617
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 2.759567
Graph Density : 0.000838347261552806
Modularity : 0.407167
NodeXL Version : 1.0.1.437
Data Import : The graph represents a network of 1,317 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, 06 July 2020 at 13:34 UTC.
The requested start date was Monday, 06 July 2020 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, 11-hour, 35-minute period from Monday, 22 June 2020 at 00:19 UTC to Sunday, 05 July 2020 at 11:55 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:
[782] fully,working [782] working,ipads [782] ipads,going [782] going,families [782] families,need [782] need,scrapped [782] scrapped,instead [782] instead,activation [781] rdklinc,fully [24] repair,national Top Word Pairs in Tweet in G1:
[759] fully,working [759] working,ipads [759] ipads,going [759] going,families [759] families,need [759] need,scrapped [759] scrapped,instead [759] instead,activation [758] rdklinc,fully [4] video,ipads Top Word Pairs in Tweet in G2:
[15] right,repair [15] blog,series [11] rdklinc,fully [11] fully,working [11] working,ipads [11] ipads,going [11] going,families [11] families,need [11] need,scrapped [11] scrapped,instead Top Word Pairs in Tweet in G3:
[22] order,minimise [22] minimise,environmental [22] environmental,impacts [22] impacts,electronics [22] electronics,important [22] important,increase [22] increase,product [22] product,lifetimes [21] r2reurope,order [21] lifetimes,circular Top Word Pairs in Tweet in G4:
[10] frey,technology [6] #freytechnology,#chambersburg [6] #chambersburg,#chambersburgpa [6] #repair,#repairshop [6] #repairshop,#righttorepair [5] #chambersburgpa,#iphone [5] #righttorepair,frey [5] screen,replacement [4] replacement,#freytechnology [3] derecho,reparar Top Word Pairs in Tweet in G5:
[8] #righttorepair,#fanaticosdelcopyright [8] #fanaticosdelcopyright,ifixit [8] ifixit,recopilado [8] recopilado,manuales [8] manuales,reparación [8] reparación,ventiladores [8] ventiladores,equipos [7] hersteller,medizinische [7] medizinische,geräte [7] geräte,bedroht Top Word Pairs in Tweet in G6:
[6] millions,tons [6] tons,electronic [6] electronic,goods [6] goods,thrown [6] thrown,year [6] year,designed [6] designed,restrict [6] restrict,repair [6] nintendo,threatens [6] repair,shop Top Word Pairs in Tweet in G7:
[8] #rechtoprepareren,#righttorepair [6] langere,levensduur [6] levensduur,toestellen [6] toestellen,haalbaar [6] haalbaar,noodzakelijk [6] noodzakelijk,#rechtoprepareren [6] #righttorepair,#circulareconomy [5] bewustverbruik,langere [4] studie,euenvironment [4] euenvironment,toont Top Word Pairs in Tweet in G8:
[10] #recycle,#upcycle [8] finally,few [8] few,days [8] days,work [8] work,#opensource [8] #opensource,electric [8] electric,bus [8] bus,reassembly [8] reassembly,stage [8] stage,#recycle Top Word Pairs in Tweet in G9:
[13] huge,repairability [13] repairability,standard [13] standard,published [13] published,eu [13] eu,#en45554 [13] #en45554,#righttorepair [12] k0a1a,huge Top Word Pairs in Tweet in G10:
[8] case,apple [8] apple,won [8] won,#sustainability [8] #sustainability,#righttorepair [8] #righttorepair,lost [8] lost,norwegian [8] norwegian,supreme [8] supreme,court [8] court,check [8] check,latest Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G5:
Top Replied-To in G7:
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: