The graph represents a network of 4,241 Twitter users whose tweets in the requested range contained "opendata", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 30 January 2019 at 14:36 UTC.
The requested start date was Tuesday, 29 January 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 4-day, 15-hour, 1-minute period from Thursday, 24 January 2019 at 09:58 UTC to Tuesday, 29 January 2019 at 01:00 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 : 4241
Unique Edges : 5885
Edges With Duplicates : 2242
Total Edges : 8127
Number of Edge Types : 3
Mentions : 6582
Tweet : 1389
Replies to : 156
Self-Loops : 1389
Reciprocated Vertex Pair Ratio : 0.035405872193437
Reciprocated Edge Ratio : 0.0683903252710592
Connected Components : 459
Single-Vertex Connected Components : 158
Maximum Vertices in a Connected Component : 2544
Maximum Edges in a Connected Component : 5956
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 7.438445
Graph Density : 0.000333391910950159
Modularity : 0.705272
NodeXL Version : 1.0.1.408
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[667] bigdata,ai [648] opendata,smartcities [642] smartcities,bigdata [269] open,data [113] 5,countries [97] cinco,países [93] openscience,infographic [90] india,nigeria [90] datascience,digital [90] digital,numerique Top Word Pairs in Tweet in G1:
[30] psi,directive [27] publications,office [27] office,eu [27] eu,50 [27] 50,years [27] years,bringing [27] bringing,authentic [27] authentic,eulaw [26] today,blow [26] blow,out Top Word Pairs in Tweet in G2:
[53] des,données [34] c,est [23] à,l [22] meetup,opendataviz [21] les,données [21] opendataviz,opendata [20] données,opendata [20] communes,et [20] et,epci [20] meetup,opendata Top Word Pairs in Tweet in G3:
[664] bigdata,ai [642] opendata,smartcities [637] smartcities,bigdata [91] openscience,infographic [88] datascience,digital [88] digital,numerique [75] infographic,fisher85m [75] fisher85m,jacburns_comext [75] jacburns_comext,jblefevre60 [75] jblefevre60,datascience Top Word Pairs in Tweet in G4:
[19] open,data [17] opendata,plasticpollution [17] world,annual [17] annual,opendata [17] opendata,celebration [17] celebration,approaching [17] approaching,want [17] want,part [17] part,engage [17] engage,citizens Top Word Pairs in Tweet in G5:
[35] open,zoomstack [32] os,open [21] iati,tech [18] thanks,1200 [18] 1200,people [18] people,took [18] took,part [18] part,trial [18] trial,os [18] zoomstack,becomes Top Word Pairs in Tweet in G6:
[14] open,data [12] będzin,grodziec [12] imgw,pib [7] quality,open [7] open,source [7] source,software [7] software,many [7] many,eyes [7] eyes,enough [7] 株じろう,退職金200万円を元に生活費4000万円を稼ぐ Top Word Pairs in Tweet in G7:
[56] 5,countries [53] india,nigeria [44] countries,india [34] live,5 [33] poor,live [32] half,world's [32] world's,poor [30] nigeria,democratic [30] democratic,republic [29] republic,congo Top Word Pairs in Tweet in G8:
[49] public,dataset [49] usgs,3dep [48] new,awscloud [48] awscloud,public [48] dataset,hobu [48] hobu,inc [48] inc,makes [48] makes,usgs [48] 3dep,point [48] point,cloud Top Word Pairs in Tweet in G9:
[81] cinco,países [70] solo,cinco [58] sabías,mitad [58] mitad,habitantes [58] habitantes,extremadamente [58] extremadamente,pobres [58] pobres,mundo [58] mundo,viven [58] viven,solo [57] bancomundial,sabías Top Word Pairs in Tweet in G10:
[30] sur,les [28] intéressé,e [28] e,par [28] par,une [28] une,expérience [28] expérience,professionnelle [28] professionnelle,au [28] au,sein [28] sein,d'un [28] d'un,cabinet Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G10:
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: