The graph represents a network of 3,745 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 1/11/2023 5:00:34 PM. The network was obtained from Twitter on Thursday, 12 January 2023 at 15:38 UTC.
The tweets in the network were tweeted over the 3383-day, 5-hour, 51-minute period from Monday, 07 October 2013 at 19:08 UTC to Thursday, 12 January 2023 at 01:00 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 : 3745
Unique Edges : 3768
Edges With Duplicates : 11711
Total Edges : 15479
Number of Edge Types : 9
Retweet : 3364
MentionsInRetweet : 6187
Replies to : 724
MentionsInReplyTo : 1262
Tweet : 623
Mentions : 2676
Quote : 232
MentionsInQuote : 282
MentionsInQuoteReply : 129
Self-Loops : 1399
Reciprocated Vertex Pair Ratio : 0.0231718326813121
Reciprocated Edge Ratio : 0.0452941176470588
Connected Components : 230
Single-Vertex Connected Components : 99
Maximum Vertices in a Connected Component : 3004
Maximum Edges in a Connected Component : 13736
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 5.075988
Graph Density : 0.000484977120491139
Modularity : 0.397921
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 3,745 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 1/11/2023 5:00:34 PM. The network was obtained from Twitter on Thursday, 12 January 2023 at 15:38 UTC.
The tweets in the network were tweeted over the 3383-day, 5-hour, 51-minute period from Monday, 07 October 2013 at 19:08 UTC to Thursday, 12 January 2023 at 01:00 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:
[605] polkadot,opengov [232] opengov,fellowship [231] fellowship,whitelisted [231] whitelisted,root [230] root,call [230] first,polkadot [228] enabling,more [224] house,rules [223] hey,speakermccarthy [223] addendum,house Top Word Pairs in Tweet in G1:
[592] polkadot,opengov [232] opengov,fellowship [231] whitelisted,root [231] fellowship,whitelisted [230] root,call [230] first,polkadot [228] enabling,more [218] call,kusamanetwork [218] kusamanetwork,enacted [217] enacted,involved Top Word Pairs in Tweet in G2:
[100] gobierno,abierto [69] #opengov,action [68] guide,#policymakers [68] effective,#citizenparticipation [68] practical,guide [68] #citizenparticipation,processes [68] implement,effective [68] understand,implement [68] #policymakers,better [68] better,understand Top Word Pairs in Tweet in G3:
[114] glxp,xprize [114] oecd,glxp [114] #gov,#innovation [114] xprize,datagovph [114] #innovation,award [114] award,opengov [114] opengov,nasa [114] nasa,oecd [114] open,#gov [63] #innovation,#ai 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:
[223] house,rules [222] hey,speakermccarthy [222] addendum,house [222] rules,punchbowlnews [222] true,secret [222] three,addendum [222] secret,three [222] speakermccarthy,true [221] punchbowlnews,report [221] danielschuman,hey Top Word Pairs in Tweet in G6:
[113] award,jimmy_wales [113] opengov,openculture [113] wikispeed,okfn [113] arubin,wikispeed [113] #open,award [113] okfn,opengov [113] jimmy_wales,arubin [75] #opensource,#python [33] #opensource,#infosec [6] uk,government Top Word Pairs in Tweet in G7:
[53] library,association [52] texas,library [48] sexharassed,texas [47] #foia,#opengov [44] #librarians,break [44] association,txla [40] #opengov,laws [38] laws,better [38] break,#foia [38] txla,locked Top Word Pairs in Tweet in G8:
[16] opengov,hiring [13] software,engineer [12] #remotejob,#remotework [12] #remotework,#wfh [11] open,government [11] apply,#remotejob [9] sr,react [9] react,engineer [8] fy,2023 [8] budget,book Top Word Pairs in Tweet in G9:
[37] declassification,board [37] interest,declassification [37] public,interest [33] recent,release [33] latest,blog [33] release,#jfk [33] #jfk,records [33] looks,recent [33] records,latest [33] board,looks Top Word Pairs in Tweet in G10:
[12] #opengov,#transparency [6] sigtarp,hudgov [6] mayorbibb,signalcleveland [6] cityofcleveland,mayorbibb [6] ericjbrewercle,cityofcleveland [6] signalcleveland,sigtarp [6] tonyviola,wews [6] hudgov,tonyviola [6] wews,axios [4] cuyahogacounty,sosayslucia 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 G7:
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: