The graph represents a network of 3,730 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 3/15/2023 5:00:36 PM. The network was obtained from Twitter on Thursday, 16 March 2023 at 14:39 UTC.
The tweets in the network were tweeted over the 4145-day, 21-hour, 47-minute period from Tuesday, 08 November 2011 at 02:12 UTC to Thursday, 16 March 2023 at 00:00 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 : 3730
Unique Edges : 2406
Edges With Duplicates : 11067
Total Edges : 13473
Number of Edge Types : 9
Retweet : 3322
MentionsInRetweet : 4631
MentionsInReplyTo : 999
Replies to : 814
Tweet : 619
MentionsInQuote : 316
Quote : 255
Mentions : 2419
MentionsInQuoteReply : 98
Self-Loops : 1440
Reciprocated Vertex Pair Ratio : 0.0357503534639467
Reciprocated Edge Ratio : 0.0690327613104524
Connected Components : 256
Single-Vertex Connected Components : 119
Maximum Vertices in a Connected Component : 2812
Maximum Edges in a Connected Component : 11373
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 4.945548
Graph Density : 0.000368677642159813
Modularity : 0.347026
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 3,730 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 3/15/2023 5:00:36 PM. The network was obtained from Twitter on Thursday, 16 March 2023 at 14:39 UTC.
The tweets in the network were tweeted over the 4145-day, 21-hour, 47-minute period from Tuesday, 08 November 2011 at 02:12 UTC to Thursday, 16 March 2023 at 00:00 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:
[1347] polkadot,opengov [658] opengov,proposed [656] 4pm,cet [648] polkadot,polkadot [646] cet,join [556] governance,polkadot [548] 24,4pm [548] february,24 [536] governance,system [532] network's,next Top Word Pairs in Tweet in G1:
[914] polkadot,opengov [555] polkadot,polkadot [549] opengov,proposed [512] 4pm,cet [511] cet,join [460] february,24 [460] 24,4pm [446] governance,system [446] network's,next [406] governance,polkadot Top Word Pairs in Tweet in G2:
[81] open,government [54] gobierno,abierto [52] open,gov [46] gov,week [43] civil,society [41] open,data [36] multi,stakeholder [36] stakeholder,forum [33] datos,abiertos [33] recomendamos,opengovpart Top Word Pairs in Tweet in G3:
[421] polkadot,opengov [145] governance,polkadot [139] 4pm,cet [130] cet,join [127] ama,session [105] opengov,proposed [105] runtime,2100 [93] next,generation [91] polkadot,polkadot [84] february,24 Top Word Pairs in Tweet in G4:
[93] open,#gov [93] oecd,glxp [93] nasa,oecd [93] #innovation,award [93] #gov,#innovation [93] award,opengov [93] opengov,nasa [93] xprize,datagovph [93] glxp,xprize [93] #innovation,#technology Top Word Pairs in Tweet in G5:
[94] wikispeed,okfn [94] opengov,openculture [94] #open,award [94] award,jimmy_wales [94] okfn,opengov [94] jimmy_wales,arubin [94] arubin,wikispeed [93] #opensource,#linux [6] mariusnestor,#opensource [5] 9to5linux,#opensource Top Word Pairs in Tweet in G6:
[30] see,agenda [24] meeting,today [21] 2nd,floor [20] 00,pm [19] today,february [18] pm,barrington [14] town,hall [13] open,government [12] barrington,town [12] hall,council Top Word Pairs in Tweet in G7:
[79] celebrate,#sunshineweek [69] householder,borges [42] learn,householder [42] borges,trial [37] join,webinar [37] #sunshineweek,join [36] celebrate,powerful [36] today,celebrate [36] facing,consequences [36] powerful,facing Top Word Pairs in Tweet in G8:
[44] wa,state [14] state,lege [14] #foia,#opengov [13] #sunshineweek,#foia [11] #opengov,wa [10] open,government [10] big,win [9] right,know [9] pennsylvania,sunshine [9] #opengov,events Top Word Pairs in Tweet in G9:
[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 G10:
[27] μέσω,opengov [25] το,10 [23] στον,οσε [23] γυαλιά,τον [23] τοποθέτησε,ως [23] δσ,στον [23] κυβέρνηση,γαπ [23] opengov,τοποθέτησε [23] χώρα,χρεοκοπούσε [23] γαπ,μέσω 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 G7:
Top Replied-To in G8:
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: