The graph represents a network of 753 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, 12 May 2022 at 14:36 UTC.
The requested start date was Thursday, 12 May 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, 22-hour, 10-minute period from Thursday, 28 April 2022 at 00:40 UTC to Wednesday, 11 May 2022 at 22:50 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 : 753
Unique Edges : 585
Edges With Duplicates : 1284
Total Edges : 1869
Number of Edge Types : 5
Tweet : 221
Retweet : 456
MentionsInRetweet : 719
Mentions : 420
Replies to : 53
Self-Loops : 233
Reciprocated Vertex Pair Ratio : 0.0382932166301969
Reciprocated Edge Ratio : 0.0737618545837724
Connected Components : 117
Single-Vertex Connected Components : 51
Maximum Vertices in a Connected Component : 391
Maximum Edges in a Connected Component : 1225
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 4.150249
Graph Density : 0.00167592043174818
Modularity : 0.466141
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 753 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, 12 May 2022 at 14:36 UTC.
The requested start date was Thursday, 12 May 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, 22-hour, 10-minute period from Thursday, 28 April 2022 at 00:40 UTC to Wednesday, 11 May 2022 at 22:50 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:
[74] opengov,asia [37] until,#worldjusticeforum [26] open,government [26] #tanzania,extractive [26] extractive,industries [26] industries,transparency [26] transparency,initiative [26] initiative,extend [26] extend,tourism [26] tourism,industry Top Word Pairs in Tweet in G1:
[18] ogp,steering [18] steering,committee [13] data,desk [11] #opengov,approaches [11] ogp,envoys [11] nandi029,data [10] global,#databarometer [10] ogp,members [10] members,using [10] using,#opengov Top Word Pairs in Tweet in G2:
[5] national,action [5] action,plan [5] potus,vp [4] 5th,national [4] open,government [4] thing,leaked [4] leaked,#scotus [4] #scotus,deliberate [4] deliberate,transparent [4] transparent,way Top Word Pairs in Tweet in G3:
[30] opengov,asia [10] gobierno,abierto [8] 00,pm [7] see,agenda [6] economy,opengov [6] meeting,today [4] commission,meeting [3] digital,economy [3] water,quality [3] quality,great Top Word Pairs in Tweet in G4:
[7] διαβούλευση,επί [7] επί,του [7] του,σχεδίου [7] σχεδίου,νόμου [5] αναμόρφωση,του [5] του,θεσμικού [5] θεσμικού,πλαισίου [5] για,την [5] νόμου,του [5] του,υπουργείου Top Word Pairs in Tweet in G5:
[16] save,date [16] date,#oddmo22 [16] #oddmo22,findet [16] findet,20 [16] 20,21 [16] 21,gewohnter [16] gewohnter,örtlichkeit [16] örtlichkeit,#moers [16] #moers,statt [16] statt,lieber Top Word Pairs in Tweet in G6:
[32] until,#worldjusticeforum [20] days,left [20] left,until [20] #thehague,online [20] 30,june [19] 30,days [19] online,30 [19] leaders,working [17] #worldjusticeforum,#thehague [17] june,#network Top Word Pairs in Tweet in G7:
[25] #tanzania,extractive [25] extractive,industries [25] industries,transparency [25] transparency,initiative [25] initiative,extend [25] extend,tourism [25] tourism,industry [24] twaweza_nisisi,#tanzania [19] believe,open [19] open,procurement Top Word Pairs in Tweet in G8:
[10] thedpsa,opengovpart [10] opengovpart,civictechafrica [7] joining,#southafrica [7] #southafrica,opengov [7] opengov,steering [7] steering,committee [7] committee,thedpsa [7] civictechafrica,vibrant [6] imali_yethu,joining [4] hsrcza,psam_africa Top Word Pairs in Tweet in G9:
[13] eli_sherman,wpri12 [13] #firstamendment,#opengov [12] complacent,#firstamendment [12] #opengov,#democracy [12] #democracy,strong [12] strong,defend [11] fivefreedoms,complacent [11] defend,plea [9] newsrooms,use [9] appeals,process Top Word Pairs in Tweet in G10:
[8] κορυφαίος,υπουργός [8] υπουργός,των [8] των,συριζανελ [8] συριζανελ,παει [8] παει,ειδικο [8] ειδικο,δικαστήριο [8] δικαστήριο,για [8] για,τις [8] τις,λαμογιες [8] λαμογιες,του 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 G5:
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: