The graph represents a network of 749 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, 27 August 2020 at 15:06 UTC.
The requested start date was Thursday, 27 August 2020 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 9-day, 6-hour, 15-minute period from Thursday, 13 August 2020 at 01:16 UTC to Saturday, 22 August 2020 at 07:31 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 : 749
Unique Edges : 498
Edges With Duplicates : 1402
Total Edges : 1900
Number of Edge Types : 5
Replies to : 74
Mentions : 354
Retweet : 559
MentionsInRetweet : 797
Tweet : 116
Self-Loops : 126
Reciprocated Vertex Pair Ratio : 0.0495049504950495
Reciprocated Edge Ratio : 0.0943396226415094
Connected Components : 91
Single-Vertex Connected Components : 19
Maximum Vertices in a Connected Component : 286
Maximum Edges in a Connected Component : 1078
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 4.413473
Graph Density : 0.00170280516624662
Modularity : 0.463461
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 749 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, 27 August 2020 at 15:06 UTC.
The requested start date was Thursday, 27 August 2020 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 9-day, 6-hour, 15-minute period from Thursday, 13 August 2020 at 01:16 UTC to Saturday, 22 August 2020 at 07:31 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:
[88] gobierno,abierto [34] abierto,ruta [34] ruta,hacia [34] hacia,nueva [34] nueva,agenda [34] agenda,reforma [34] reforma,estado [33] open,government [28] #opengovasia,#opengovlive [25] #opengovlive,#informandempower Top Word Pairs in Tweet in G1:
[85] gobierno,abierto [34] abierto,ruta [34] ruta,hacia [34] hacia,nueva [34] nueva,agenda [34] agenda,reforma [34] reforma,estado [22] open,government [21] estado,modernización [21] modernización,administración Top Word Pairs in Tweet in G2:
[18] public,records [17] reason,public [17] records,street [17] street,episode [17] episode,six [17] six,hbo's [17] hbo's,perry [17] perry,mason [17] mason,#opengov [16] cofoic,reason Top Word Pairs in Tweet in G3:
[3] liberty_opengov,quicktake [3] grizwald87,20committee [2] blatant,fraud [2] kid,worked [2] worked,hard [2] kendilaniannbc,nbcnews [2] attack,against [2] liberty_opengov,mrstache9 Top Word Pairs in Tweet in G4:
[9] falls,jemand [9] jemand,urlaubs [9] urlaubs,wochenendlektüre [9] wochenendlektüre,sucht [9] sucht,#ogpde [9] #ogpde,#opengov [8] rebastion,falls [6] vegas,city [6] city,schools [5] covered,west Top Word Pairs in Tweet in G5:
[18] citizen,participation [10] open,government [10] government,more [10] more,transparency [10] transparency,citizen [10] participation,collaboration [10] collaboration,between [10] between,government [10] government,citizens [9] sinarproject,open Top Word Pairs in Tweet in G6:
[17] ofqual,published [17] published,simplified [17] simplified,version [17] version,dpia [17] dpia,2020 [17] 2020,grading [17] grading,#alevelresults [17] #alevelresults,#gdpr [16] owenboswarva,ofqual [16] #gdpr,#d Top Word Pairs in Tweet in G7:
[28] #opengovasia,#opengovlive [25] #opengovlive,#informandempower [20] #informandempower,#sas [11] during,pandemic [10] #artificialintelligence,helping [10] helping,singapore [10] singapore,achieve [10] achieve,smart [10] smart,nation [10] nation,vision Top Word Pairs in Tweet in G8:
[3] opengov,asia [3] see,agenda [3] agenda,teleconferencing [3] teleconferencing,details [3] meeting,today [3] today,august [3] 00,pm [2] august,20th [2] 20th,00 [2] commission,meeting Top Word Pairs in Tweet in G9:
[5] hey,opengov [5] opengov,idea [5] idea,clerk [5] clerk,house [5] house,moved [5] moved,removed [5] removed,allowing [5] allowing,search [5] search,access [5] access,submitted Top Word Pairs in Tweet in G10:
[19] police,video [18] records,show [18] show,massive [18] massive,backlog [18] backlog,petitions [18] petitions,police [18] video,mecklenburg [18] mecklenburg,county [18] county,nc [18] nc,law Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
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 G6:
Top Mentioned in G7:
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: