The graph represents a network of 739 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, 13 July 2020 at 13:34 UTC.
The requested start date was Monday, 13 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, 10-hour, 22-minute period from Monday, 29 June 2020 at 08:00 UTC to Sunday, 12 July 2020 at 18:23 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 : 739
Unique Edges : 434
Edges With Duplicates : 1385
Total Edges : 1819
Number of Edge Types : 5
Tweet : 229
Mentions : 184
Replies to : 58
Retweet : 605
MentionsInRetweet : 743
Self-Loops : 236
Reciprocated Vertex Pair Ratio : 0.0364705882352941
Reciprocated Edge Ratio : 0.0703745743473326
Connected Components : 120
Single-Vertex Connected Components : 65
Maximum Vertices in a Connected Component : 490
Maximum Edges in a Connected Component : 1524
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.052188
Graph Density : 0.00161538151240782
Modularity : 0.423971
NodeXL Version : 1.0.1.437
Data Import : The graph represents a network of 739 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, 13 July 2020 at 13:34 UTC.
The requested start date was Monday, 13 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, 10-hour, 22-minute period from Monday, 29 June 2020 at 08:00 UTC to Sunday, 12 July 2020 at 18:23 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:
[90] medical,#righttorepair [66] never,more [66] more,urgent [66] urgent,moment [66] moment,medical [66] #righttorepair,afford [66] afford,spare [66] spare,single [66] single,ventilator [65] doctorow,never Top Word Pairs in Tweet in G1:
[44] medical,equipment [30] need,fix [29] hospitals,life [29] life,death [29] death,situations [29] situations,regularly [29] regularly,need [29] fix,equipment [29] equipment,quickly [29] quickly,patients Top Word Pairs in Tweet in G2:
[66] never,more [66] more,urgent [66] urgent,moment [66] moment,medical [66] medical,#righttorepair [66] #righttorepair,afford [66] afford,spare [66] spare,single [66] single,ventilator [65] doctorow,never Top Word Pairs in Tweet in G3:
[17] frey,technology [13] #chambersburg,#chambersburgpa [12] #freytechnology,#chambersburg [11] screen,replacement [10] #repair,#repairshop [9] #repairshop,#righttorepair [8] right,repair [8] #righttorepair,frey [7] pass,first [7] #chambersburgpa,#iphone Top Word Pairs in Tweet in G4:
[25] hear,repair [25] workers,government [25] government,improve [25] improve,ability [25] ability,repair [25] repair,electrical [23] commonseac,hear [20] repair,cafã [20] cafã,workers [19] electrical,electronicâ Top Word Pairs in Tweet in G5:
[21] europeans,produced [21] produced,waste [21] waste,capita [21] capita,world [21] world,2019 [21] 2019,average [21] average,16 [21] 16,2kg [21] 2kg,meanwhile [21] meanwhile,#recycling Top Word Pairs in Tweet in G6:
[7] need,#righttorepair [6] openmediaorg,need [6] little,dongle [6] dongle,shipped [6] shipped,hacker [6] hacker,poland [6] poland,helped [6] helped,william [6] william,repair [6] repair,70 Top Word Pairs in Tweet in G7:
[25] fully,working [25] working,ipads [25] ipads,going [25] going,families [25] families,need [25] need,scrapped [25] scrapped,instead [25] instead,activation [24] rdklinc,fully [2] activation,lâ Top Word Pairs in Tweet in G8:
[9] #techlife,#diy [8] #diy,#handyman [8] #handyman,#righttorepair [2] belt,#techlife Top Word Pairs in Tweet in G9:
[7] nice,apple [7] apple,show [7] show,using [7] using,ifixit [7] ifixit,tools [7] tools,tools [7] tools,good [7] good,enough [7] enough,aasp [7] aasp,irp Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: