The graph represents a network of 1,137 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, 03 September 2020 at 15:07 UTC.
The requested start date was Thursday, 03 September 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 13-day, 20-hour, 43-minute period from Thursday, 20 August 2020 at 00:06 UTC to Wednesday, 02 September 2020 at 20:50 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 : 1137
Unique Edges : 902
Edges With Duplicates : 2156
Total Edges : 3058
Number of Edge Types : 5
MentionsInRetweet : 1286
Mentions : 615
Retweet : 844
Tweet : 225
Replies to : 88
Self-Loops : 241
Reciprocated Vertex Pair Ratio : 0.0413703943115708
Reciprocated Edge Ratio : 0.0794537554314091
Connected Components : 125
Single-Vertex Connected Components : 56
Maximum Vertices in a Connected Component : 701
Maximum Edges in a Connected Component : 2270
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 5.193642
Graph Density : 0.00124725928128136
Modularity : 0.475899
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 1,137 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, 03 September 2020 at 15:07 UTC.
The requested start date was Thursday, 03 September 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 13-day, 20-hour, 43-minute period from Thursday, 20 August 2020 at 00:06 UTC to Wednesday, 02 September 2020 at 20:50 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:
[91] gobierno,abierto [78] σε,διαβούλευση [76] που,τέθηκε [66] πτωχευτικός,κώδικας [65] κατά,παραγγελία [65] παραγγελία,των [65] των,τραπεζών [65] τραπεζών,ο [65] ο,νέος [65] νέος,πτωχευτικός Top Word Pairs in Tweet in G1:
[39] governance,processes [38] discuss,building [37] opengov,youth [37] youth,digital [37] digital,summit [34] join,#tweetchat [34] #tweetchat,dr [34] dr,michael [34] michael,uzoigwe [34] uzoigwe,discuss Top Word Pairs in Tweet in G2:
[85] gobierno,abierto [21] abierto,mañana [21] 11,hrs [20] experto,participar [17] #gobiernoabierto,#opengov [16] invitación,imperdible [16] imperdible,marco [16] marco,cocreación [16] cocreación,plan [16] plan,acción Top Word Pairs in Tweet in G3:
[32] cofoic,icymi [27] city,council [25] rachael,johnson [25] johnson,rcj7 [25] pro,bono [25] colorado,journalists [25] boulder,beat [25] beat,online [25] online,news [25] news,site Top Word Pairs in Tweet in G4:
[76] που,τέθηκε [76] σε,διαβούλευση [66] πτωχευτικός,κώδικας [65] κατά,παραγγελία [65] παραγγελία,των [65] των,τραπεζών [65] τραπεζών,ο [65] ο,νέος [65] νέος,πτωχευτικός [65] κώδικας,που Top Word Pairs in Tweet in G5:
[16] california,cities [14] opengov,modernize [13] service,delivery [13] partner,opengov [12] cities,partner [12] modernize,internal [12] internal,operations [12] operations,customer [12] customer,service [7] see,agenda Top Word Pairs in Tweet in G6:
[20] story,last [20] last,week [20] week,exposing [20] exposing,massive [20] massive,year [20] year,backlog [20] backlog,petitions [20] petitions,release [20] release,police [20] police,video Top Word Pairs in Tweet in G7:
[2] reminder,morgen [2] morgen,#live [2] #live,#oev21 [2] #oev21,verpassen [2] verpassen,warten [2] warten,spannende [2] spannende,vorträge [2] vorträge,#opengov [2] #opengov,#egovg [2] #egovg,#nrw Top Word Pairs in Tweet in G8:
[4] 3yearletterman,petebuttigieg [4] liberty_opengov,quicktake [3] liberty_opengov,3yearletterman [2] tea,party [2] team,budget [2] kendilaniannbc,nbcnews [2] attack,against [2] kid,worked [2] worked,hard [2] blatant,fraud Top Word Pairs in Tweet in G9:
[19] making,open [19] open,development [19] development,inclusive [19] research,#oer [19] #oer,#openscience [19] #openscience,#opengov [18] openict4d,making [18] #opengov,#opendata [17] inclusive,lessons [17] lessons,idrc Top Word Pairs in Tweet in G10:
[10] #opengovasia,#opengovlive [9] #opengovlive,#informandempower [9] #informandempower,#sas [9] #sas,#ai [9] #ai,#thailand [8] futuremoh,kaspersky [6] public,sector [5] achieve,smart [5] smart,nation [5] nation,vision Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G7:
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: