The graph represents a network of 891 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, 02 June 2022 at 14:36 UTC.
The requested start date was Thursday, 02 June 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, 10-minute period from Thursday, 19 May 2022 at 01:30 UTC to Wednesday, 01 June 2022 at 22:40 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 : 891
Unique Edges : 579
Edges With Duplicates : 1939
Total Edges : 2518
Number of Edge Types : 5
Mentions : 418
Retweet : 684
MentionsInRetweet : 1084
Tweet : 294
Replies to : 38
Self-Loops : 310
Reciprocated Vertex Pair Ratio : 0.0408525754884547
Reciprocated Edge Ratio : 0.0784982935153584
Connected Components : 126
Single-Vertex Connected Components : 57
Maximum Vertices in a Connected Component : 480
Maximum Edges in a Connected Component : 1727
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.985438
Graph Density : 0.00147795054162095
Modularity : 0.431184
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 891 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, 02 June 2022 at 14:36 UTC.
The requested start date was Thursday, 02 June 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, 10-minute period from Thursday, 19 May 2022 at 01:30 UTC to Wednesday, 01 June 2022 at 22:40 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:
[127] opengov,asia [54] #คณะก,าวหน [54] าวหน,า [53] ถ,า [53] า,#คณะก [53] า,ชนะเล [53] ชนะเล,อกต [53] อกต,งพ [53] งพ,ทยา [53] ทยา,คงจะเป Top Word Pairs in Tweet in G1:
[17] justice,policy [17] policy,series [15] ogp,justice [14] publication,accountability [14] accountability,democratic [14] democratic,renewal [14] renewal,3rd [14] 3rd,final [14] final,part [14] part,ogp Top Word Pairs in Tweet in G2:
[15] data,journalism [12] digiphile,data [10] 5th,national [9] open,government [7] #ddj,#opengov [6] co,creation [6] journalism,poorer [6] poorer,areas [6] areas,angeles [6] angeles,slower Top Word Pairs in Tweet in G3:
[87] opengov,asia [11] asia,opengov [7] opengov,leadership [7] leadership,forum [7] cyber,security [6] singapore,opengov [6] asia,#whatsapp [6] #whatsapp,#lovescams [6] #lovescams,#phonescams [5] 7th,annual Top Word Pairs in Tweet in G4:
[53] ถ,า [53] า,#คณะก [53] #คณะก,าวหน [53] าวหน,า [53] า,ชนะเล [53] ชนะเล,อกต [53] อกต,งพ [53] งพ,ทยา [53] ทยา,คงจะเป [53] คงจะเป,นน Top Word Pairs in Tweet in G5:
[51] gouvernement,ouvert [44] ouvert,local [34] prix,gouvernement [33] local,bénin [30] #icobenin,#opengov [28] #opengov,#communes229 [28] #communes229,#civictech [24] #civictech,prix [24] bénin,communes [24] communes,compétition Top Word Pairs in Tweet in G6:
[23] #anticorruption,#opengov [15] #equalrights,#anticorruption [13] collaborate,leaders [8] #equalrights,#accesstojustice [8] #accesstojustice,#equalrights [8] more,days [8] days,#worldjusticeforum [8] opportunity,hear [8] hear,inspiring [8] inspiring,speakers Top Word Pairs in Tweet in G7:
[21] globalintegrity,4lowthemoney [21] 4lowthemoney,budgitng [21] budgitng,opengovhub [21] opengovhub,opengovpart [21] opengovpart,ogpkenya [21] ogpkenya,nandi029 [21] nandi029,elgeyomarakwetc [21] elgeyomarakwetc,nms_kenya [21] nms_kenya,ogi_kenya [18] sidarec,globalintegrity Top Word Pairs in Tweet in G8:
[13] aperto,bando [13] bando,#opengovchampion [13] #opengovchampion,2022 [13] 2022,quest'anno [13] quest'anno,premiamo [13] premiamo,migliori [13] migliori,progetti [13] progetti,#governoaperto [13] #governoaperto,realizzati [13] realizzati,dalle Top Word Pairs in Tweet in G9:
[11] #wef22,discuss [11] discuss,ways [10] wonderful,meet [8] spradhanogp,wonderful [6] #opengov,reforms [6] delighted,meet [6] meet,armenian [6] armenian,president [6] president,vahagn [6] vahagn,khachaturyan Top Word Pairs in Tweet in G10:
[7] #opengov,laws [6] journalists,happy [6] happy,answer [6] answer,questions [6] questions,comment [6] comment,wa [6] wa,state's [6] state's,#opengov [6] laws,find [6] find,contact Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G7:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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: