The graph represents a network of 1,056 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, 19 May 2022 at 14:36 UTC.
The requested start date was Thursday, 19 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, 27-minute period from Thursday, 05 May 2022 at 04:35 UTC to Wednesday, 18 May 2022 at 23:03 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 : 1056
Unique Edges : 753
Edges With Duplicates : 2488
Total Edges : 3241
Number of Edge Types : 5
Mentions : 537
Retweet : 950
MentionsInRetweet : 1362
Replies to : 35
Tweet : 357
Self-Loops : 384
Reciprocated Vertex Pair Ratio : 0.0444287729196051
Reciprocated Edge Ratio : 0.0850776502363268
Connected Components : 125
Single-Vertex Connected Components : 60
Maximum Vertices in a Connected Component : 694
Maximum Edges in a Connected Component : 2491
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.062974
Graph Density : 0.00132934798219158
Modularity : 0.395394
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 1,056 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, 19 May 2022 at 14:36 UTC.
The requested start date was Thursday, 19 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, 27-minute period from Thursday, 05 May 2022 at 04:35 UTC to Wednesday, 18 May 2022 at 23:03 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:
[112] conferencia,gratuita [112] gratuita,estrategias [112] estrategias,innovación [112] innovación,abierta [112] abierta,gobernanza [112] gobernanza,disruptiva [112] disruptiva,#opengovweek [112] #opengovweek,#gobiernoabiertoec [89] #gobiernoabiertoec,#opengovernment [89] #opengovernment,#opengov Top Word Pairs in Tweet in G1:
[30] opengovpart,#opengovweek [30] 200,events [29] more,60 [29] 60,countries [28] events,more [28] countries,join [26] #tanzania,extractive [26] extractive,industries [26] industries,transparency [26] transparency,initiative Top Word Pairs in Tweet in G2:
[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] potus,vp [6] digiphile,hard Top Word Pairs in Tweet in G3:
[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] #ogpde,#opengov Top Word Pairs in Tweet in G4:
[26] opengov,asia [9] 00,pm [8] see,agenda [7] meeting,today [6] join,#suse [6] #suse,7th [6] 7th,annual [6] annual,singapore [6] singapore,opengov [6] opengov,leadership Top Word Pairs in Tweet in G5:
[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 G6:
[17] data,desk [12] joining,opengovpart [12] opengovpart,great [12] great,driver [12] driver,efforts [12] efforts,enhancing [12] enhancing,openness [12] openness,transparency [12] nandi029,data [11] araap_sang,joining Top Word Pairs in Tweet in G7:
[14] #opendoorsjustice,event [14] 10,years [13] years,ago [12] don,miss [11] open,government [9] #opengov,community [8] canadian,legal [8] legal,problems [8] problems,survey [8] survey,related Top Word Pairs in Tweet in G8:
[11] gobierno,abierto [9] #opengovweek,martes [9] martes,17 [9] 17,mayo [9] mayo,mediodía [9] mediodía,conversando [9] conversando,estado [9] estado,#estadoabierto [9] #estadoabierto,dónde [9] dónde,estamos Top Word Pairs in Tweet in G9:
[20] fiscal,openness [19] research,fiscaltrans [18] lower,corruption [18] corruption,raise [18] raise,revenue [17] #fiscalopenness,lower [17] revenue,#participatorybudgeting [17] #participatorybudgeting,help [17] help,governments [17] governments,save Top Word Pairs in Tweet in G10:
[30] ถ,า [30] า,#คณะก [30] #คณะก,าวหน [30] าวหน,า [30] า,ชนะเล [30] ชนะเล,อกต [30] อกต,งพ [30] งพ,ทยา [30] ทยา,คงจะเป [30] คงจะเป,นน Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G6:
Top Replied-To in G8:
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: