The graph represents a network of 769 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, 13 October 2022 at 14:35 UTC.
The requested start date was Thursday, 13 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, 22-hour, 31-minute period from Thursday, 29 September 2022 at 00:09 UTC to Wednesday, 12 October 2022 at 22:41 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 : 769
Unique Edges : 692
Edges With Duplicates : 1500
Total Edges : 2192
Number of Edge Types : 5
Retweet : 584
MentionsInRetweet : 943
Mentions : 447
Tweet : 173
Replies to : 45
Self-Loops : 186
Reciprocated Vertex Pair Ratio : 0.0460405156537753
Reciprocated Edge Ratio : 0.0880281690140845
Connected Components : 91
Single-Vertex Connected Components : 39
Maximum Vertices in a Connected Component : 467
Maximum Edges in a Connected Component : 1690
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.085556
Graph Density : 0.0019234937147811
Modularity : 0.442573
NodeXL Version : 1.0.1.506
Data Import : The graph represents a network of 769 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, 13 October 2022 at 14:35 UTC.
The requested start date was Thursday, 13 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, 22-hour, 31-minute period from Thursday, 29 September 2022 at 00:09 UTC to Wednesday, 12 October 2022 at 22:41 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:
[1608] î,î [86] î,îµî [82] î,îºî [78] îµï,î [75] î,ïƒî [75] îºî,î [74] ïƒî,î [64] î,ïƒï [64] îµî,î [62] ïƒï,î Top Word Pairs in Tweet in G1:
[23] regional,meeting [22] opengovpart,ogp [21] strategy,development [20] europe,regional [19] check,phase [19] phase,report [18] meeting,#ogpitaly2022 [18] development,check [17] ceo,spradhanogp [17] #opengov,community Top Word Pairs in Tweet in G2:
[8] ago,next [8] sunshine,law [8] years,ago [8] next,month [6] government,transparency [6] don,miss [6] transparency,colorado [6] ushered,government [6] month,voter [6] voter,approval Top Word Pairs in Tweet in G3:
[16] alujas,redmatriz [15] #gobiernoabierto,#estadoabierto [15] américa,latina [13] nuestro,diplomado [12] redmatriz,upgrade [11] clásico,#gobiernoabierto [11] gobierno,abierto [11] estado,abierto [11] abierto,américa [11] #estadoabierto,gobierno Top Word Pairs in Tweet in G4:
[12] opengov,asia [9] vcog,daily [9] daily,access [9] access,news [7] news,10 [5] 00,pm [5] see,agenda [5] 10,22 [5] #opengov,#transparency [4] opengov,online Top Word Pairs in Tweet in G5:
[5] vanitaguptacr,given [5] thejusticedept's,chief [5] given,role [5] chief,foia [5] dear,vanitaguptacr [5] foia,officer [5] history,foia [5] officer,history [5] foia,litigation [5] role,thejusticedept's Top Word Pairs in Tweet in G6:
[38] implement,effective [38] guide,#policymakers [38] better,understand [38] practical,guide [38] #policymakers,better [38] understand,implement [38] effective,#citizenparticipation [38] #outnow,practical [38] #citizenparticipation,processes [37] oecdgov,#outnow Top Word Pairs in Tweet in G7:
[8] governo,aperto [8] regional,meeting [5] 11,12 [5] europe,regional [4] paesi,rappresentati [4] meeting,governo [4] oltre,40 [4] 40,paesi [4] #roma,europe [4] rappresentati,buone Top Word Pairs in Tweet in G8:
[917] î,î [62] î,îµî [53] îµï,î [48] î,ïƒî [46] ïƒî,î [43] î,ïƒï [42] îµî,î [42] î,îµï [41] ïƒï,î [38] îºï,î Top Word Pairs in Tweet in G9:
[23] national,action [19] plan,#opengov [19] action,plan [11] 2022,24 [11] 24,national [10] government,more [9] more,transparent [8] re,organization [8] transparent,accountable [8] heard,opengovpart Top Word Pairs in Tweet in G10:
[4] chrisronayne,weingart2022 [3] clecivictech,clevejn [3] signalcleveland,clecivictech [3] rosiepalfy,signalcleveland [2] atperzynski,rosiepalfy [2] council,ppl [2] clevejn,racheldissell [2] aprilhirsh,paulrrochford [2] racheldissell,ugh [2] bike_cle,clefortransit Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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 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: