The graph represents a network of 3,775 Twitter users whose recent tweets contained "opengov", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 3/8/2023 5:00:33 PM. The network was obtained from Twitter on Thursday, 09 March 2023 at 15:38 UTC.
The tweets in the network were tweeted over the 4138-day, 22-hour, 33-minute period from Tuesday, 08 November 2011 at 02:12 UTC to Thursday, 09 March 2023 at 00:45 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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 : 3775
Unique Edges : 2496
Edges With Duplicates : 11117
Total Edges : 13613
Number of Edge Types : 9
Retweet : 3299
MentionsInRetweet : 4627
Tweet : 668
Mentions : 2583
Quote : 274
MentionsInQuote : 320
MentionsInReplyTo : 948
Replies to : 822
MentionsInQuoteReply : 72
Self-Loops : 1493
Reciprocated Vertex Pair Ratio : 0.0341931613677265
Reciprocated Edge Ratio : 0.0661252900232019
Connected Components : 279
Single-Vertex Connected Components : 139
Maximum Vertices in a Connected Component : 2820
Maximum Edges in a Connected Component : 11340
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 5.009658
Graph Density : 0.000363027616631045
Modularity : 0.345994
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 3,775 Twitter users whose recent tweets contained "opengov", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 3/8/2023 5:00:33 PM. The network was obtained from Twitter on Thursday, 09 March 2023 at 15:38 UTC.
The tweets in the network were tweeted over the 4138-day, 22-hour, 33-minute period from Tuesday, 08 November 2011 at 02:12 UTC to Thursday, 09 March 2023 at 00:45 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
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:
[1273] polkadot,opengov [657] opengov,proposed [656] 4pm,cet [645] cet,join [630] polkadot,polkadot [552] governance,system [547] governance,polkadot [547] 24,4pm [547] february,24 [533] network's,next Top Word Pairs in Tweet in G1:
[1013] polkadot,opengov [584] opengov,proposed [575] polkadot,polkadot [549] 4pm,cet [548] cet,join [485] february,24 [485] 24,4pm [479] governance,system [478] network's,next [434] governance,polkadot Top Word Pairs in Tweet in G2:
[73] open,government [55] gobierno,abierto [50] open,gov [47] civil,society [44] gov,week [40] esquema,#gobiernoabierto [35] comunidad,#opengov [35] multi,stakeholder [35] stakeholder,forum [34] take,place Top Word Pairs in Tweet in G3:
[250] polkadot,opengov [116] runtime,2100 [109] governance,polkadot [103] 4pm,cet [93] cet,join [77] ama,session [69] governance,system [69] opengov,proposed [66] next,generation [60] updates,governance Top Word Pairs in Tweet in G4:
[107] glxp,xprize [107] oecd,glxp [107] #gov,#innovation [107] xprize,datagovph [107] #innovation,award [107] #innovation,#technology [107] award,opengov [107] opengov,nasa [107] nasa,oecd [107] open,#gov Top Word Pairs in Tweet in G5:
[108] okfn,opengov [108] award,jimmy_wales [108] opengov,openculture [108] arubin,wikispeed [108] wikispeed,okfn [108] jimmy_wales,arubin [108] #open,award [92] #opensource,#linux [14] #opensource,#infosec [5] mariusnestor,#opensource Top Word Pairs in Tweet in G6:
[34] see,agenda [28] meeting,today [24] 00,pm [23] 2nd,floor [21] pm,barrington [19] today,february [15] town,hall [13] #opendata,#opengov [11] barrington,town [11] public,library Top Word Pairs in Tweet in G7:
[84] declassification,board [84] board,pidb [84] interest,declassification [84] public,interest [82] public,meeting [82] january,26 [58] thursday,january [58] pidb,holding [58] meeting,2023 [58] first,public Top Word Pairs in Tweet in G8:
[78] ofta,blivit [78] läst,tusentals [78] mellan,krav [78] har,läst [78] resurser,men [78] obalansen,mellan [78] enorma,obalansen [78] till,mods [78] illa,till [78] blivit,illa Top Word Pairs in Tweet in G9:
[23] διαβούλευση,για [18] για,τη [18] για,την [18] του,υπουργείου [17] μέσω,opengov [15] το,10 [15] το,opengov [14] το,λουξεμβούργο [14] στον,οσε [13] εγκαινιάζει,τη Top Word Pairs in Tweet in G10:
[43] sharing,lessons [43] subnational,#ogp [43] reformers,ogpkaduna [43] ogpkaduna,early [43] reforms,sharing [43] lessons,subnational [43] starter,#opengov [43] #opengov,reforms [43] early,starter [42] #ogp,opennigerde 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 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 G4:
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: