The graph represents a network of 1,155 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, 28 October 2021 at 14:44 UTC.
The requested start date was Thursday, 28 October 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, 21-hour, 36-minute period from Thursday, 14 October 2021 at 01:00 UTC to Wednesday, 27 October 2021 at 22:36 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 : 1155
Unique Edges : 1016
Edges With Duplicates : 1947
Total Edges : 2963
Number of Edge Types : 5
Retweet : 762
MentionsInRetweet : 1244
Mentions : 630
Tweet : 243
Replies to : 84
Self-Loops : 254
Reciprocated Vertex Pair Ratio : 0.0406865861411316
Reciprocated Edge Ratio : 0.0781918142944411
Connected Components : 125
Single-Vertex Connected Components : 47
Maximum Vertices in a Connected Component : 642
Maximum Edges in a Connected Component : 2095
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 5.081819
Graph Density : 0.00122817679143502
Modularity : 0.506242
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 1,155 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, 28 October 2021 at 14:44 UTC.
The requested start date was Thursday, 28 October 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, 21-hour, 36-minute period from Thursday, 14 October 2021 at 01:00 UTC to Wednesday, 27 October 2021 at 22:36 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:
[93] #opengov,awards [65] opengov,asia [63] 2021,#opengov [63] 20,11 [63] offene,infrastrukturen [52] infrastrukturen,resiliente [52] resiliente,kommunen [51] barcamp,offene [51] 11,21 [50] online,barcamp Top Word Pairs in Tweet in G1:
[51] #opengov,awards [28] 2021,#opengov [22] impact,awards [21] vote,2021 [21] ogp,impact [20] cast,vote [20] two,tracks [20] tracks,ogp [20] awards,impactful [20] impactful,ogp Top Word Pairs in Tweet in G2:
[63] offene,infrastrukturen [63] 20,11 [52] infrastrukturen,resiliente [52] resiliente,kommunen [51] barcamp,offene [51] 11,21 [50] online,barcamp [39] kommunen,20 [27] 21,infos [24] #oknrw,online Top Word Pairs in Tweet in G3:
[18] sign,mou [15] pleased,sign [15] mou,iriglobal [15] iriglobal,opengovpart [15] opengovpart,greatly [15] greatly,looking [15] looking,forward [15] forward,expanding [15] expanding,collaboration [15] collaboration,fight Top Word Pairs in Tweet in G4:
[16] ahí,vamos [13] #opengov,awards [11] 2021,#opengov [11] ogp,impact [10] gran,oportunidad [10] oportunidad,formación [10] formación,gran [10] gran,comunidad [10] comunidad,#justiciaabierta [10] #justiciaabierta,#openjustice Top Word Pairs in Tweet in G5:
[2] sarahda70359554,archaicnonsense [2] archaicnonsense,djmorpheus2007 [2] djmorpheus2007,eubrainwashing [2] eubrainwashing,mrsmoir271 [2] mrsmoir271,algernonparry [2] algernonparry,nathpernod [2] nathpernod,nocorruptjudges Top Word Pairs in Tweet in G6:
[23] opengov,asia [13] see,agenda [12] meeting,today [12] today,october [9] 00,pm [7] pm,barrington [5] #opengov,awards [4] impact,awards [4] committee,meeting [4] barrington,public Top Word Pairs in Tweet in G7:
[14] ridiculous,people [14] people,mean [14] mean,social [14] social,media [14] media,reason [14] reason,release [14] release,information [14] information,public [13] mforstater,ridiculous [13] public,inter Top Word Pairs in Tweet in G8:
[9] school,#librarians [8] #opengov,#foia [7] #moms,#dads [6] #parenting,#moms [4] #dads,#edchat [3] requests,school [3] school,#libraries [3] #foia,schools [3] school,board [3] #foia,#opengov Top Word Pairs in Tweet in G9:
[9] transparency,transparency [3] first,principles [3] principles,regulation [3] regulation,transparency [3] transparency,ashley [3] ashley,brown [2] keithsulzer,bibbforcle [2] bibbforcle,safercle [2] safercle,despite [2] despite,bibb Top Word Pairs in Tweet in G10:
[2] volatile,assets [2] capital,gains [2] trezor,ledger [2] penn,giving 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 G8:
Top Replied-To in G9:
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 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:
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: