The graph represents a network of 1,071 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, 10 June 2021 at 14:44 UTC.
The requested start date was Thursday, 10 June 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, 27 May 2021 at 02:00 UTC to Wednesday, 09 June 2021 at 21:54 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 : 1071
Unique Edges : 749
Edges With Duplicates : 1952
Total Edges : 2701
Number of Edge Types : 5
Retweet : 777
MentionsInRetweet : 1176
Tweet : 188
Mentions : 503
Replies to : 57
Self-Loops : 225
Reciprocated Vertex Pair Ratio : 0.0268115942028985
Reciprocated Edge Ratio : 0.0522230063514467
Connected Components : 111
Single-Vertex Connected Components : 34
Maximum Vertices in a Connected Component : 675
Maximum Edges in a Connected Component : 2017
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.38346
Graph Density : 0.00123650706388474
Modularity : 0.492145
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 1,071 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, 10 June 2021 at 14:44 UTC.
The requested start date was Thursday, 10 June 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, 27 May 2021 at 02:00 UTC to Wednesday, 09 June 2021 at 21:54 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:
[533] î,î [94] public,interest [94] interest,declassification [92] declassification,board [87] usnatarchives,public [78] board,pidb [78] pidb,posted [68] answers,questions [67] posted,answers [67] questions,public Top Word Pairs in Tweet in G1:
[22] transparency,accountability [20] greater,transparency [20] accountability,automated [20] automated,decision [20] decision,making [20] making,systems [20] systems,help [20] help,increase [20] increase,public [20] public,trust Top Word Pairs in Tweet in G2:
[94] public,interest [94] interest,declassification [92] declassification,board [87] usnatarchives,public [78] board,pidb [78] pidb,posted [67] posted,answers [67] answers,questions [67] questions,public [45] important,update Top Word Pairs in Tweet in G3:
[18] makes,ton [18] ton,sense [18] sense,opensecretsdc [18] opensecretsdc,merges [18] merges,moneyinpolitics [18] moneyinpolitics,form [18] form,looks [18] pre,eminent [18] eminent,federal [17] digiphile,makes Top Word Pairs in Tweet in G4:
[41] public,records [30] 24,hours [29] records,24 [26] governor,deleting [26] deleting,public [26] hours,past [26] past,months [26] months,help [26] help,word [26] word,govmlg Top Word Pairs in Tweet in G5:
[15] gobierno,abierto [14] implementar,estrategias [14] estrategias,territoriales [14] territoriales,gobierno [14] abierto,colombia [14] colombia,2021 [13] américa,latina [13] redmatriz,novedad [12] estado,estado [12] estado,abierto Top Word Pairs in Tweet in G6:
[7] vcog,daily [7] daily,access [7] access,news [7] see,agenda [7] agenda,teleconferencing [7] teleconferencing,details [7] meeting,today [6] news,21 [6] today,june [5] #opengov,#transparency Top Word Pairs in Tweet in G7:
[7] #opengov,#foia [5] emilysweeney,bostonglobe [5] online,mugshot [4] 30,minute [4] minute,skills [4] skills,#hipaa [4] #hipaa,#publicrecords [4] #publicrecords,a_marshall_plan [4] a_marshall_plan,rcfp [4] rcfp,gt Top Word Pairs in Tweet in G8:
[9] #smartcity,#smartcities [8] #opensmartct,#smartcity [6] open,data [6] data,open [6] open,source [6] source,government [6] government,myths [6] myths,key [6] key,smart [6] smart,cities Top Word Pairs in Tweet in G9:
[4] dayton,ohio [4] ohio,largest [4] largest,share [4] share,general [4] general,fund [4] fund,budget [4] budget,2020 [4] 2020,allocated [4] allocated,police [4] police,29 Top Word Pairs in Tweet in G10:
[9] under,radar [9] radar,amendments [9] amendments,two [9] two,police [9] police,bills [9] final,days [9] days,#coleg [9] #coleg,session [9] session,address [9] address,public Top Replied-To in Entire Graph:
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:
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: