The graph represents a network of 1,001 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, 17 February 2022 at 15:45 UTC.
The requested start date was Thursday, 17 February 2022 at 01:01 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, 22-minute period from Thursday, 03 February 2022 at 01:02 UTC to Wednesday, 16 February 2022 at 22:24 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 : 1001
Unique Edges : 678
Edges With Duplicates : 1847
Total Edges : 2525
Number of Edge Types : 5
Retweet : 708
MentionsInRetweet : 1091
Mentions : 432
Tweet : 245
Replies to : 49
Self-Loops : 273
Reciprocated Vertex Pair Ratio : 0.0307692307692308
Reciprocated Edge Ratio : 0.0597014925373134
Connected Components : 133
Single-Vertex Connected Components : 66
Maximum Vertices in a Connected Component : 514
Maximum Edges in a Connected Component : 1553
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 6.145727
Graph Density : 0.00127172827172827
Modularity : 0.484015
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 1,001 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, 17 February 2022 at 15:45 UTC.
The requested start date was Thursday, 17 February 2022 at 01:01 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, 22-minute period from Thursday, 03 February 2022 at 01:02 UTC to Wednesday, 16 February 2022 at 22:24 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:
[101] opengov,asia [69] better,#publiccommunication [69] #publiccommunication,crucial [69] crucial,addressing [69] addressing,double [69] double,crisis [69] both,governments [69] governments,information [51] #opengov,#gobiernoabierto [49] maryland,organizations Top Word Pairs in Tweet in G1:
[34] gobierno,abierto [25] redmatriz,cesarncruz [25] cesarncruz,2012 [21] libro,voces [21] editado,redmatriz [19] #opengov,folks [17] #opengov,#gobiernoabierto [17] ramirezalujas,#opengov [14] civil,society [14] recomendación,semana Top Word Pairs in Tweet in G2:
[59] better,#publiccommunication [59] #publiccommunication,crucial [59] crucial,addressing [59] addressing,double [59] double,crisis [59] both,governments [59] governments,information [35] information,report [34] crisis,trust [34] trust,both Top Word Pairs in Tweet in G3:
[61] opengov,asia [9] asia,opengov [8] 00,pm [7] open,government [7] see,agenda [7] agenda,teleconferencing [7] teleconferencing,details [6] digital,technology [6] technology,opengov [5] zealand,university Top Word Pairs in Tweet in G4:
[13] public,records [11] mayorbowser,ban [10] ban,use [10] use,whatsapp [10] whatsapp,doesn [10] doesn,appear [10] appear,put [10] put,place [10] place,archiving [10] archiving,rules Top Word Pairs in Tweet in G5:
[49] maryland,organizations [36] senate,president [33] 160,maryland [32] organizations,calling [30] alert,over [30] over,160 [30] calling,senbillferg [30] senbillferg,#keepmdsenatevirtual [30] #keepmdsenatevirtual,senate [30] senate,moves Top Word Pairs in Tweet in G6:
[4] week's,#data [4] #data,#dataviz [4] #opengov,etc [4] etc,links [4] #ddj,#datajournalism [4] #datajournalism,#opengov [3] civil,society [3] #opengov,opengovpart [3] hi,johnwseddon [3] johnwseddon,mikechitty Top Word Pairs in Tweet in G7:
[25] national,action [25] action,plan [21] public,consultations [21] 5th,national [21] plan,#opengov [21] #opengov,live [21] live,until [21] until,february [21] february,18 [21] 18,leave Top Word Pairs in Tweet in G8:
[13] smart,cities [9] #opendata,#opengov [9] meet,first [9] first,open [9] open,smart [9] cities,advocate [9] advocate,cohort [9] cohort,60 [9] 60,applicants [9] applicants,proud Top Word Pairs in Tweet in G9:
[26] reminder,requested [26] requested,basic [26] basic,details [26] details,govmlg [26] govmlg,travel [26] travel,scotland [26] scotland,november [26] november,haven't [26] haven't,received [26] received,basic Top Word Pairs in Tweet in G10:
[7] wa,state [6] public,records [4] wa,state's [4] make,public [4] records,request [4] request,wa [4] state,show [4] show,#opengov [3] journalists,answer [3] answer,questions Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G4:
Top Replied-To in G8:
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 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: