The graph represents a network of 1,191 Twitter users whose tweets in the requested range contained "opengov", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 26 May 2022 at 14:36 UTC.
The requested start date was Thursday, 26 May 2022 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, 18-hour, 52-minute period from Thursday, 12 May 2022 at 02:00 UTC to Wednesday, 25 May 2022 at 20:52 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 : 1191
Unique Edges : 838
Edges With Duplicates : 2966
Total Edges : 3804
Number of Edge Types : 5
Retweet : 1097
MentionsInRetweet : 1693
Mentions : 576
Replies to : 41
Tweet : 397
Self-Loops : 422
Reciprocated Vertex Pair Ratio : 0.0426049908703591
Reciprocated Edge Ratio : 0.0817279626386457
Connected Components : 136
Single-Vertex Connected Components : 67
Maximum Vertices in a Connected Component : 713
Maximum Edges in a Connected Component : 2771
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.755692
Graph Density : 0.00120864466693478
Modularity : 0.392651
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 1,191 Twitter users whose tweets in the requested range contained "opengov", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 26 May 2022 at 14:36 UTC.
The requested start date was Thursday, 26 May 2022 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, 18-hour, 52-minute period from Thursday, 12 May 2022 at 02:00 UTC to Wednesday, 25 May 2022 at 20:52 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 : opengov
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:
[113] #opengovweek,#gobiernoabiertoec [112] conferencia,gratuita [112] gratuita,estrategias [112] estrategias,innovación [112] innovación,abierta [112] abierta,gobernanza [112] gobernanza,disruptiva [112] disruptiva,#opengovweek [90] #gobiernoabiertoec,#opengovernment [89] opengov,asia Top Word Pairs in Tweet in G1:
[29] 60,countries [28] opengovpart,#opengovweek [24] 200,events [22] events,more [22] more,60 [22] countries,join [21] next,week [18] looking,forward [17] #opengov,community [14] #opengovweek,next Top Word Pairs in Tweet in G2:
[10] 5th,national [7] hard,believe [7] believe,more [7] more,12 [7] 12,years [7] years,pahlkadot [7] pahlkadot,founded [7] founded,codeforamerica [7] codeforamerica,excited [6] whostp,officials Top Word Pairs in Tweet in G3:
[87] ถ,า [87] า,#คณะก [87] #คณะก,าวหน [87] าวหน,า [87] า,ชนะเล [87] ชนะเล,อกต [87] อกต,งพ [87] งพ,ทยา [87] ทยา,คงจะเป [87] คงจะเป,นน Top Word Pairs in Tweet in G4:
[36] opengov,asia [11] 7th,annual [11] annual,singapore [11] singapore,opengov [11] opengov,leadership [11] leadership,forum [11] forum,2022 [10] join,#suse [10] #suse,7th [10] 2022,happening Top Word Pairs in Tweet in G5:
[16] #ogp,interim [13] steering,committee [11] bring,#opengovweek [11] #opengovweek,close [11] close,kenya [11] kenya,inviting [11] inviting,join [11] join,national [11] national,event [11] event,happening Top Word Pairs in Tweet in G6:
[54] back,2006 [54] 2006,nonprofit [54] nonprofit,#opengov [54] #opengov,movement [54] movement,information [54] information,published [54] published,machine [54] machine,readable [54] readable,#opendata [53] ppolitics,back Top Word Pairs in Tweet in G7:
[21] globalintegrity,4lowthemoney [21] 4lowthemoney,budgitng [21] budgitng,opengovhub [21] opengovhub,opengovpart [21] opengovpart,ogpkenya [21] ogpkenya,nandi029 [21] nandi029,elgeyomarakwetc [21] elgeyomarakwetc,nms_kenya [21] nms_kenya,ogi_kenya [18] sidarec,globalintegrity Top Word Pairs in Tweet in G8:
[10] guten,überblick [10] überblick,thema [10] thema,#opengov [10] #opengov,bietet [10] bietet,neue [10] neue,buch [10] buch,#opengovernment [10] #opengovernment,offenes [10] offenes,regierungs [9] boergernet,guten Top Word Pairs in Tweet in G9:
[22] lower,corruption [21] fiscal,openness [20] research,fiscaltrans [19] guide,#opengov [17] corruption,raise [17] raise,revenue [16] #fiscalopenness,lower [16] revenue,#participatorybudgeting [16] #participatorybudgeting,help [16] help,governments Top Word Pairs in Tweet in G10:
[13] #opendoorsjustice,event [12] don,miss [8] canadian,legal [8] legal,problems [8] problems,survey [8] survey,related [8] related,series [8] series,qualitative [8] justice,related [8] related,research Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G5:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
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: