The graph represents a network of 3,934 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 2/15/2023 5:00:35 PM. The network was obtained from Twitter on Thursday, 16 February 2023 at 15:38 UTC.
The tweets in the network were tweeted over the 4117-day, 21-hour, 48-minute period from Tuesday, 08 November 2011 at 02:12 UTC to Thursday, 16 February 2023 at 00:01 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 : 3934
Unique Edges : 3566
Edges With Duplicates : 11348
Total Edges : 14914
Number of Edge Types : 9
Retweet : 3099
MentionsInRetweet : 5242
Tweet : 765
Replies to : 880
MentionsInReplyTo : 1169
Mentions : 3006
MentionsInQuote : 340
Quote : 289
MentionsInQuoteReply : 124
Self-Loops : 1698
Reciprocated Vertex Pair Ratio : 0.0266796811452741
Reciprocated Edge Ratio : 0.0519727459990493
Connected Components : 259
Single-Vertex Connected Components : 132
Maximum Vertices in a Connected Component : 3105
Maximum Edges in a Connected Component : 12930
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 5.494347
Graph Density : 0.000407887013422979
Modularity : 0.396644
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 3,934 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 2/15/2023 5:00:35 PM. The network was obtained from Twitter on Thursday, 16 February 2023 at 15:38 UTC.
The tweets in the network were tweeted over the 4117-day, 21-hour, 48-minute period from Tuesday, 08 November 2011 at 02:12 UTC to Thursday, 16 February 2023 at 00:01 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:
[221] house,rules [220] hey,speakermccarthy [220] addendum,house [220] three,addendum [220] true,secret [220] speakermccarthy,true [220] rules,punchbowlnews [220] secret,three [219] danielschuman,hey [219] punchbowlnews,report Top Word Pairs in Tweet in G1:
[146] polkadot,opengov [120] governance,system [100] next,generation [99] polkadot,next [96] generation,governance [95] runtime,2100 [85] live,kusamanetwork [78] enabling,more [76] opengov,formerly [76] system,enabling Top Word Pairs in Tweet in G2:
[76] gobierno,abierto [75] open,government [66] better,understand [65] guide,#policymakers [65] effective,#citizenparticipation [65] practical,guide [65] #citizenparticipation,processes [65] implement,effective [65] understand,implement [65] #policymakers,better Top Word Pairs in Tweet in G3:
[138] glxp,xprize [138] oecd,glxp [138] #gov,#innovation [138] xprize,datagovph [138] #innovation,award [138] award,opengov [138] opengov,nasa [138] nasa,oecd [138] open,#gov [82] #innovation,#technology Top Word Pairs in Tweet in G4:
[70] people,against [70] finland,increasing [70] increasing,resilience [70] lies,rumors [70] propaganda,misinformation [70] against,lies [70] resilience,people [70] rumors,propaganda [70] misinformation,education [69] digiphile,finland Top Word Pairs in Tweet in G5:
[138] award,jimmy_wales [138] opengov,openculture [138] wikispeed,okfn [138] arubin,wikispeed [138] #open,award [138] okfn,opengov [138] jimmy_wales,arubin [51] #opensource,#infosec [51] #opensource,#linux [33] #opensource,#python Top Word Pairs in Tweet in G6:
[219] house,rules [218] hey,speakermccarthy [218] true,secret [218] rules,punchbowlnews [218] speakermccarthy,true [218] secret,three [218] three,addendum [218] addendum,house [217] punchbowlnews,report [217] danielschuman,hey Top Word Pairs in Tweet in G7:
[15] opengov,hiring [12] #opendata,#opengov [10] apply,#remotejob [10] #remotejob,#remotework [10] #remotework,#wfh [9] sr,react [9] software,engineer [9] react,engineer [7] #leika,#modernerstaat [7] #egovernment,#fim Top Word Pairs in Tweet in G8:
[119] declassification,board [119] interest,declassification [119] public,interest [86] usnatarchives,public [85] board,pidb [84] public,meeting [83] january,26 [57] thursday,january [57] holding,first [57] pidb,holding Top Word Pairs in Tweet in G9:
[45] sharing,lessons [45] subnational,#ogp [45] reformers,ogpkaduna [45] ogpkaduna,early [45] reforms,sharing [45] lessons,subnational [45] starter,#opengov [45] #opengov,reforms [45] early,starter [44] #ogp,opennigerde Top Word Pairs in Tweet in G10:
[49] texas,library [49] library,association [46] sexharassed,texas [44] #foia,#opengov [42] #librarians,break [42] association,txla [39] #opengov,laws [37] break,#foia [37] txla,locked [36] days,report Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
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: