The graph represents a network of 978 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, 04 November 2021 at 14:44 UTC.
The requested start date was Thursday, 04 November 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, 22-hour, 38-minute period from Thursday, 21 October 2021 at 00:13 UTC to Wednesday, 03 November 2021 at 22:52 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 : 978
Unique Edges : 914
Edges With Duplicates : 1726
Total Edges : 2640
Number of Edge Types : 5
Retweet : 660
MentionsInRetweet : 1160
Tweet : 205
Replies to : 73
Mentions : 542
Self-Loops : 220
Reciprocated Vertex Pair Ratio : 0.0398293029871977
Reciprocated Edge Ratio : 0.0766073871409029
Connected Components : 118
Single-Vertex Connected Components : 43
Maximum Vertices in a Connected Component : 607
Maximum Edges in a Connected Component : 2066
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 5.254271
Graph Density : 0.00153007935062679
Modularity : 0.50354
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 978 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, 04 November 2021 at 14:44 UTC.
The requested start date was Thursday, 04 November 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, 22-hour, 38-minute period from Thursday, 21 October 2021 at 00:13 UTC to Wednesday, 03 November 2021 at 22:52 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:
[90] opengov,asia [63] artificial,intelligence [59] intelligence,opengov [56] scientists,improve [53] improve,climate [53] climate,simulations [53] simulations,artificial [38] anti,corruption [37] asia,read [37] read,more Top Word Pairs in Tweet in G1:
[19] ogp,academy [17] looking,15 [17] 15,young [17] opengovpart,countries [17] countries,who're [17] who're,passionate [17] passionate,#civic [17] #civic,space [13] #opengov,awards [12] accountlab,looking Top Word Pairs in Tweet in G2:
[15] ridiculous,people [15] people,mean [15] mean,social [15] social,media [15] media,reason [15] reason,release [15] release,information [15] information,public [14] #hackday,#moers [14] mforstater,ridiculous Top Word Pairs in Tweet in G3:
[15] ahí,vamos [15] #opengov,#govtech [14] gigapp,inapuchile [13] vamos,#opengov [13] #govtech,cpoliticauba [13] cpoliticauba,gigapp [13] inapuchile,govtechhub [13] govtechhub,espaciospol [13] espaciospol,gipgegauba [12] redmatriz,ahí Top Word Pairs in Tweet in G4:
[4] civil,society [4] usag,garland [4] jrminton,listening [4] listening,laurelucchesi [4] laurelucchesi,speak [4] speak,digital [4] digital,democracy [4] democracy,open [4] open,government [4] government,francais Top Word Pairs in Tweet in G5:
[8] amy_k_sanders,medialawprof [8] wa,state [8] public,records [7] wednesday,question [7] circling,back [7] back,recent [7] recent,#opengov [7] #opengov,research [7] research,read [7] read,paper Top Word Pairs in Tweet in G6:
[14] opengov,asia [10] see,agenda [9] meeting,today [8] 00,pm [7] today,october [5] open,government [4] pm,barrington [3] singapore,deploy [3] deploy,more [3] more,cyber Top Word Pairs in Tweet in G7:
[2] volatile,assets [2] trezor,ledger [2] penn,giving [2] gonna,exceedingly [2] exceedingly,fun [2] fun,think [2] think,match [2] match,analysis [2] analysis,ft [2] ft,footage Top Word Pairs in Tweet in G8:
[16] 20,11 [16] #oknrw,online [16] online,barcamp [16] offene,infrastrukturen [10] 11,nichts [10] nichts,gut [10] gut,veranstalten [10] veranstalten,diesjährige [10] diesjährige,#oknrw [10] barcamp,offene Top Word Pairs in Tweet in G9:
[15] lukerosiak,asranomani [15] school,librarians [14] public,schools [13] foia,loudoun [13] loudoun,county [13] county,public [13] schools,school [13] librarians,fyi [13] fyi,lukerosiak [12] sexharassed,foia Top Word Pairs in Tweet in G10:
[33] event,making [33] making,anti [33] anti,corruption [33] corruption,effective [33] effective,approach [33] approach,mushtaqkhan100 [33] mushtaqkhan100,sharing [33] sharing,ideas [32] ideas,insights [32] insights,lse_id Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G7:
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 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:
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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: