The graph represents a network of 845 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, 06 October 2022 at 14:35 UTC.
The requested start date was Thursday, 06 October 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, 21-hour, 58-minute period from Thursday, 22 September 2022 at 00:43 UTC to Wednesday, 05 October 2022 at 22:42 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 : 845
Unique Edges : 687
Edges With Duplicates : 1580
Total Edges : 2267
Number of Edge Types : 5
Tweet : 200
Retweet : 580
MentionsInRetweet : 928
Mentions : 515
Replies to : 44
Self-Loops : 207
Reciprocated Vertex Pair Ratio : 0.0394618834080717
Reciprocated Edge Ratio : 0.0759275237273512
Connected Components : 117
Single-Vertex Connected Components : 43
Maximum Vertices in a Connected Component : 468
Maximum Edges in a Connected Component : 1599
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 4.06378
Graph Density : 0.0016251156790712
Modularity : 0.467789
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 845 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, 06 October 2022 at 14:35 UTC.
The requested start date was Thursday, 06 October 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, 21-hour, 58-minute period from Thursday, 22 September 2022 at 00:43 UTC to Wednesday, 05 October 2022 at 22:42 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:
[77] action,plan [75] national,action [59] plan,#opengov [48] 2022,24 [48] 24,national [40] #outnow,practical [40] practical,guide [40] guide,#policymakers [40] #policymakers,better [40] better,understand Top Word Pairs in Tweet in G1:
[64] action,plan [64] national,action [50] plan,#opengov [44] 2022,24 [44] 24,national [29] canada,2022 [25] #opengov,plan [25] plan,committed [25] committed,increasing [25] increasing,#gc Top Word Pairs in Tweet in G2:
[21] participación,ciudadana [20] comunidad,#gigapp2022 [20] #gigapp2022,disponible [20] disponible,descarga [20] descarga,participación [20] ciudadana,experiencias [20] experiencias,inspiradoras [20] inspiradoras,españa [20] españa,incluye [19] ramirezalujas,comunidad Top Word Pairs in Tweet in G3:
[7] national,action [6] action,plan [5] plan,#opengov [5] know,lot [5] lot,going [5] going,uk [5] uk,declared [5] declared,'inactive' [5] 'inactive',global [5] global,#opengov Top Word Pairs in Tweet in G4:
[3] #opengov,#transparency [2] nickcastele,scenesallard [2] scenesallard,sallyaccorti [2] sallyaccorti,racheldissell [2] racheldissell,atperzynski [2] atperzynski,pls [2] pls,tell [2] tell,tease [2] tease,cityofcleveland [2] cityofcleveland,map Top Word Pairs in Tweet in G5:
[18] opengov,asia [9] vcog,daily [9] daily,access [9] access,news [6] #opengov,#foia [6] #foia,#transparency [5] open,government [5] see,agenda [4] opengov,makes [4] meeting,today Top Word Pairs in Tweet in G6:
[38] #outnow,practical [38] practical,guide [38] guide,#policymakers [38] #policymakers,better [38] better,understand [38] understand,implement [38] implement,effective [38] effective,#citizenparticipation [38] #citizenparticipation,processes [37] oecdgov,#outnow Top Word Pairs in Tweet in G7:
[7] bloomberglp,fsu_com [7] fsu_com,knightfdn [5] spot,today [4] meet,journalists [4] journalists,media [4] media,lawyers [4] lawyers,social [4] social,impact [4] impact,tech [4] tech,developers Top Word Pairs in Tweet in G8:
[13] σαν,σήμερα [13] σήμερα,το [13] το,2009 [13] 2009,η [13] η,τελευταία [13] τελευταία,προοδευτική [13] προοδευτική,κυβέρνηση [13] κυβέρνηση,πασοκ [13] πασοκ,παπανδρέου [13] παπανδρέου,σε Top Word Pairs in Tweet in G9:
[4] die,#verwaltung [4] #verwaltung,wertvoller [4] wertvoller,gedankenblitz [4] gedankenblitz,keynote [4] keynote,überlegungen [4] überlegungen,offenen [4] #egov,#opengov [3] ogddachli,govdata_de [3] govdata_de,datagvat [3] datagvat,opendataswiss Top Word Pairs in Tweet in G10:
[6] acceso,universal [6] universal,información [5] unesco,declaró [5] declaró,28 [5] 28,septiembre [5] septiembre,día [5] día,internacional [5] internacional,acceso [5] #opencontracting,#opengov [5] #opengov,approach Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G8:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
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: