The graph represents a network of 825 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, 18 August 2022 at 14:43 UTC.
The requested start date was Thursday, 18 August 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, 18-hour, 59-minute period from Thursday, 04 August 2022 at 03:26 UTC to Wednesday, 17 August 2022 at 22:26 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 : 825
Unique Edges : 511
Edges With Duplicates : 1453
Total Edges : 1964
Number of Edge Types : 5
Mentions : 301
Retweet : 602
MentionsInRetweet : 815
Replies to : 29
Tweet : 217
Self-Loops : 232
Reciprocated Vertex Pair Ratio : 0.0334728033472803
Reciprocated Edge Ratio : 0.0647773279352227
Connected Components : 103
Single-Vertex Connected Components : 46
Maximum Vertices in a Connected Component : 287
Maximum Edges in a Connected Component : 975
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.336855
Graph Density : 0.00145336863783466
Modularity : 0.476962
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 825 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, 18 August 2022 at 14:43 UTC.
The requested start date was Thursday, 18 August 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, 18-hour, 59-minute period from Thursday, 04 August 2022 at 03:26 UTC to Wednesday, 17 August 2022 at 22:26 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:
[174] 2012부터,2020까지 [174] 2020까지,싹 [174] 싹,지운 [174] 지운,능지 [174] 능지,수준은 [174] 수준은,잘 [174] 잘,알겠는데 [174] 알겠는데,올해는 [173] masterwhite18,2012부터 [123] opengov,asia Top Word Pairs in Tweet in G1:
[174] 2012부터,2020까지 [174] 2020까지,싹 [174] 싹,지운 [174] 지운,능지 [174] 능지,수준은 [174] 수준은,잘 [174] 잘,알겠는데 [174] 알겠는데,올해는 [173] masterwhite18,2012부터 Top Word Pairs in Tweet in G2:
[25] young,people [21] open,government [14] ensure,voices [14] voices,ideas [14] ideas,young [14] people,included [14] included,#opengov [14] #opengov,policy [14] policy,making [14] making,processes Top Word Pairs in Tweet in G3:
[46] gobierno,abierto [21] vv,aa [20] #opengov,scheme [20] scheme,2022 [19] redmatriz,#opengov [19] américa,latina [17] políticas,públicas [17] guía,oecd [17] oecd,diseñar [17] diseñar,implementar Top Word Pairs in Tweet in G4:
[12] vcog,daily [12] daily,access [12] access,news [8] #foia,#opengov [8] #opengov,#transparency [5] rolling,quorum [5] #dyk,#opengov [5] #opengov,portal [5] portal,data [5] data,protected Top Word Pairs in Tweet in G5:
[54] opengov,asia [16] opengov,hiring [14] hiring,remote [14] remote,technical [14] technical,support [14] support,engineer [14] engineer,tier [14] tier,apply [14] apply,#remotejobs [14] #remotejobs,#remotework Top Word Pairs in Tweet in G6:
[3] #transparency,#opengov [2] clecityplanning,thecle [2] thecle,clevemetroparks [2] clevemetroparks,gcrta [2] gcrta,redlinegreenway [2] redlinegreenway,mayorbibb [2] mayorbibb,gcpartnership [2] gcpartnership,noaca_mpo [2] noaca_mpo,tpl_org [2] chrisronayne,weingart2022 Top Word Pairs in Tweet in G7:
[5] easy,governments [5] governments,listen [5] listen,citizens [5] citizens,know [5] know,best [5] best,best [5] best,way [5] way,achieve [5] calped4devt,ihifix [5] ihifix,perlnigeria Top Word Pairs in Tweet in G8:
[3] 2019,vp44 [3] vp44,biden [3] biden,told [3] told,american [3] american,people [3] people,reforms [3] reforms,restore [3] restore,faith [3] faith,government [3] government,2022 Top Word Pairs in Tweet in G9:
[3] nigeriagov,opengovpart [3] opengovpart,invictusafrica [3] invictusafrica,wrapang [3] wrapang,ncpdofficial [3] ncpdofficial,realloisauta [3] realloisauta,inclusivefrnds [3] inclusivefrnds,honbeni [3] honbeni,realaishabinani [3] 109,ngrsenate [3] ngrsenate,22 Top Replied-To in Entire Graph:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G6:
Top Replied-To in G7:
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 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: