The graph represents a network of 893 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, 29 July 2021 at 14:47 UTC.
The requested start date was Thursday, 29 July 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, 22-minute period from Thursday, 15 July 2021 at 00:07 UTC to Wednesday, 28 July 2021 at 22:29 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 : 893
Unique Edges : 595
Edges With Duplicates : 1626
Total Edges : 2221
Number of Edge Types : 5
Tweet : 221
Retweet : 649
MentionsInRetweet : 952
Replies to : 32
Mentions : 367
Self-Loops : 248
Reciprocated Vertex Pair Ratio : 0.040394973070018
Reciprocated Edge Ratio : 0.0776531492666091
Connected Components : 104
Single-Vertex Connected Components : 32
Maximum Vertices in a Connected Component : 326
Maximum Edges in a Connected Component : 1187
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.73209
Graph Density : 0.00145501383455777
Modularity : 0.482681
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 893 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, 29 July 2021 at 14:47 UTC.
The requested start date was Thursday, 29 July 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, 22-minute period from Thursday, 15 July 2021 at 00:07 UTC to Wednesday, 28 July 2021 at 22:29 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:
[172] non,passa [172] passa,emendamento [172] emendamento,dl [172] dl,governance [172] governance,sulla [171] bad,news [171] news,non [171] sulla,trasparenza [171] trasparenza,#pnrr [171] #pnrr,avrebbe Top Word Pairs in Tweet in G1:
[171] non,passa [171] passa,emendamento [171] emendamento,dl [171] dl,governance [171] governance,sulla [170] bad,news [170] news,non [170] sulla,trasparenza [170] trasparenza,#pnrr [170] #pnrr,avrebbe Top Word Pairs in Tweet in G2:
[59] gobierno,abierto [18] estrategia,#gobiernoabierto [16] following,#pegasusproject [16] #pegasusproject,global [16] global,investigation [16] investigation,uncovered [16] uncovered,mobile [16] mobile,phones [16] phones,journalists [16] journalists,activists Top Word Pairs in Tweet in G3:
[7] finding,#anticorruption [7] #anticorruption,#opengov [7] #opengov,discussion [7] discussion,interesting [7] interesting,vulekamali [7] vulekamali,result [7] result,many [7] many,very [7] very,ambitious [6] blog,newest Top Word Pairs in Tweet in G4:
[28] national,action [26] action,plan [19] 5th,national [18] comment,5th [18] plan,#openjustice [18] #openjustice,commitment [18] july,23 [18] help,communities [17] deadline,extended [16] commitment,july Top Word Pairs in Tweet in G5:
[11] registration,open [11] open,first [11] first,two [11] two,classes [11] classes,web [11] web,scraping [10] view,previous [10] previous,classes [9] scraping,view [8] fivefreedoms,registration Top Word Pairs in Tweet in G6:
[9] mdedora,kathykiely [9] kathykiely,outlined [9] outlined,government [9] government,posture [9] posture,towards [9] towards,press [9] press,usa [9] usa,potus45 [9] potus45,led [9] led,hate Top Word Pairs in Tweet in G7:
[5] see,agenda [5] meeting,today [5] today,july [5] 00,pm [4] agenda,teleconferencing [4] teleconferencing,details [3] inc,founded [3] open,government [3] survey,opengov [3] opengov,youth Top Word Pairs in Tweet in G8:
[4] dels,ens [4] ens,locals [4] vicepresidenta,projecció [4] projecció,exterior [4] exterior,transaprència [4] transaprència,acm [4] acm,alcaldessa [4] alcaldessa,d'anglès [4] d'anglès,astriddesset [4] astriddesset,participat Top Word Pairs in Tweet in G9:
[14] mayorkeller,cabq [13] announce,riograndefndn [13] riograndefndn,settled [13] settled,public [13] public,records [13] records,suit [13] suit,against [13] against,mayorkeller [11] gt,gt [10] open,government Top Word Pairs in Tweet in G10:
[10] ohne,ehrlichkeit [10] ehrlichkeit,jedenfalls [10] jedenfalls,kein [10] kein,fortschritt [10] fortschritt,schaffen [10] schaffen,wünsche [10] wünsche,mehr [10] mehr,davon [10] davon,die [10] die,pseudo Top Replied-To in Entire Graph:
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: