The graph represents a network of 1,440 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 May 2021 at 14:45 UTC.
The requested start date was Thursday, 06 May 2021 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, 19-hour, 53-minute period from Thursday, 22 April 2021 at 00:36 UTC to Wednesday, 05 May 2021 at 20:29 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 : 1440
Unique Edges : 953
Edges With Duplicates : 2861
Total Edges : 3814
Number of Edge Types : 5
Retweet : 1111
MentionsInRetweet : 1678
Tweet : 212
Mentions : 758
Replies to : 55
Self-Loops : 223
Reciprocated Vertex Pair Ratio : 0.0404255319148936
Reciprocated Edge Ratio : 0.0777096114519427
Connected Components : 103
Single-Vertex Connected Components : 31
Maximum Vertices in a Connected Component : 1033
Maximum Edges in a Connected Component : 3114
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 5.023805
Graph Density : 0.000943942552698633
Modularity : 0.47675
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 1,440 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 May 2021 at 14:45 UTC.
The requested start date was Thursday, 06 May 2021 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, 19-hour, 53-minute period from Thursday, 22 April 2021 at 00:36 UTC to Wednesday, 05 May 2021 at 20:29 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:
[230] virtual,public [226] public,interest [225] interest,#declassification [225] public,meeting [220] #declassification,board [220] meeting,18 [122] host,virtual [117] 18,pm [116] board,host [116] pm,meeting Top Word Pairs in Tweet in G1:
[225] public,interest [225] interest,#declassification [225] virtual,public [225] public,meeting [220] #declassification,board [220] meeting,18 [117] 18,pm [116] board,host [116] host,virtual [116] pm,meeting Top Word Pairs in Tweet in G2:
[27] #opengov,approaches [18] learn,#opengov [16] renew,societies [16] steering,committee [15] opportunity,take [15] take,systemic [15] systemic,weaknesses [15] weaknesses,#covid19 [15] #covid19,pandemic [15] pandemic,shined Top Word Pairs in Tweet in G3:
[42] dal,17 [42] 17,21 [41] 21,maggio [37] aperta,dal [27] controllare,spese [27] spese,piano [27] piano,ripresa [27] ripresa,resilienza [27] resilienza,mettessimo [27] mettessimo,studenti Top Word Pairs in Tweet in G4:
[97] local,open [58] parler,local [54] pouvez,suivre [54] suivre,replay [54] replay,mon [54] mon,passage [54] passage,medi1tvafrique [54] medi1tvafrique,comme [54] comme,invité [54] invité,rédaction Top Word Pairs in Tweet in G5:
[26] publicservice,lizhempowicz [26] lizhempowicz,pogowatchdog [26] pogowatchdog,rudymehrbani [26] rudymehrbani,democracyfund [26] democracyfund,tzsmith [26] tzsmith,heritage [21] repmaloney,leaderhoyer [20] heritage,repmaloney [19] digiphile,publicservice [15] leaderhoyer,gerryco Top Word Pairs in Tweet in G6:
[14] atención,hoy [14] hoy,lanzado [14] lanzado,portal [14] portal,europeo [14] europeo,datos [14] datos,dataeuropa [14] dataeuropa,interesante [14] interesante,plataforma [13] redmatriz,atención [13] plataforma,#datos Top Word Pairs in Tweet in G7:
[39] make,government [29] government,more [25] more,accountable [19] important,make [19] accountable,starting [19] starting,5th [19] 5th,groups [19] groups,procurement [19] procurement,contracts [19] contracts,public Top Word Pairs in Tweet in G8:
[8] building,smart [8] smart,cities [8] cities,eyes [8] eyes,citizens [8] citizens,mazlan_abbas [8] mazlan_abbas,#elearning [8] #elearning,#smartcity [8] #smartcity,#opengov [6] eraser,building [6] #opengov,#sm Top Word Pairs in Tweet in G9:
[11] beteiligungsphase,vorläufige [11] vorläufige,entwurf [11] entwurf,nächsten [11] nächsten,#opengov [11] #opengov,aktionsplans [11] aktionsplans,#nap [11] #nap,beiträge [11] beiträge,bundes [10] rebastion,beteiligungsphase [9] hi,#opengov Top Word Pairs in Tweet in G10:
[13] cofoic,colorado [12] #coleg,#copolitics [12] appellate,ruling [12] ruling,dailycamera's [12] dailycamera's,suit [12] suit,against [12] against,cu [12] cu,regents [12] regents,sets [12] sets,dangerous Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G5:
Top Replied-To in G6:
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: