The graph represents a network of 1,705 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 October 2020 at 14:45 UTC.
The requested start date was Thursday, 29 October 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, 22-hour, 9-minute period from Thursday, 15 October 2020 at 00:51 UTC to Wednesday, 28 October 2020 at 23:01 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 : 1705
Unique Edges : 1779
Edges With Duplicates : 4327
Total Edges : 6106
Number of Edge Types : 5
Retweet : 1634
MentionsInRetweet : 2897
Mentions : 1121
Tweet : 348
Replies to : 106
Self-Loops : 370
Reciprocated Vertex Pair Ratio : 0.0457516339869281
Reciprocated Edge Ratio : 0.0875
Connected Components : 137
Single-Vertex Connected Components : 58
Maximum Vertices in a Connected Component : 1255
Maximum Edges in a Connected Component : 5355
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.173257
Graph Density : 0.00110142772568942
Modularity : 0.431455
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 1,705 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 October 2020 at 14:45 UTC.
The requested start date was Thursday, 29 October 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, 22-hour, 9-minute period from Thursday, 15 October 2020 at 00:51 UTC to Wednesday, 28 October 2020 at 23:01 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:
[208] young,people [132] open,gov [120] gov,#digitalyouthsummit [120] #parliaments2020,#openparliament [118] #openparliament,#youthpower [104] #youthpower,#digitalyouthsummit [102] #ogplocal,opengovpart [93] #digitalyouthsummit,#transparency [92] #transparency,#youthinclusion [92] #youthinclusion,#opengov Top Word Pairs in Tweet in G1:
[102] #ogplocal,opengovpart [66] opengovpart,gobierno [59] papel,clave [58] gobierno,local [53] estamos,emocionados [53] local,juega [53] juega,papel [48] emocionados,unirnos [48] unirnos,#ogplocal [44] opengovpart,#ogplocal Top Word Pairs in Tweet in G2:
[159] young,people [120] #parliaments2020,#openparliament [118] #openparliament,#youthpower [104] #youthpower,#digitalyouthsummit [93] #digitalyouthsummit,#transparency [92] #transparency,#youthinclusion [92] #youthinclusion,#opengov [68] open,gov [61] #opengov,#digitalyouthsummit [58] gov,#digitalyouthsummit Top Word Pairs in Tweet in G3:
[20] #esifunds,#cohesionpolicy [19] results,709 [19] 709,civic [19] civic,monitoring [19] monitoring,reports [19] reports,#esifunds [19] #cohesionpolicy,assessing [19] assessing,ascuoladioc [19] ascuoladioc,students [18] monithon,results Top Word Pairs in Tweet in G4:
[15] ghislaine,maxwell [15] maxwell,loses [15] loses,fight [15] fight,keep [15] keep,jeffrey [15] jeffrey,epstein [15] epstein,testimony [15] testimony,sealed [15] sealed,miamiherald [15] miamiherald,#sayfie Top Word Pairs in Tweet in G5:
[16] national,action [15] action,plan [12] #dyk,today [12] today,global [12] global,#handwashing [12] #handwashing,day [12] day,learn [12] learn,more [12] more,proper [12] proper,hand Top Word Pairs in Tweet in G6:
[10] see,agenda [10] agenda,teleconferencing [10] teleconferencing,details [10] meeting,today [10] today,october [10] 00,pm [5] covid,19 [5] young,people [4] opengov,acquires [4] acquires,clearrec Top Word Pairs in Tweet in G7:
[9] felicitaciones,municipalidad [9] municipalidad,peñalolén [9] peñalolén,penalolen [9] penalolen,carolinaleitao [9] carolinaleitao,equipo [9] equipo,primer [9] primer,gobierno [9] gobierno,local [8] redmatriz,felicitaciones [7] partimos,temprano Top Word Pairs in Tweet in G8:
[29] critical,events [27] country,dealing [27] dealing,critical [27] events,besides [27] besides,pandemic [27] pandemic,citizen [27] citizen,safety [27] safety,constantly [27] constantly,being [27] being,threatened Top Word Pairs in Tweet in G9:
[43] gobierno,abierto [29] cumbre,digital [29] digital,juventudes [23] juventudes,gobierno [17] registraste,cumbre [17] abierto,panel [17] panel,discutiremos [17] discutiremos,efectos [16] accountlabmx,registraste [11] panel,juventudes Top Word Pairs in Tweet in G10:
[7] revolving,door [7] door,works [7] works,#epa's [7] #epa's,air [7] air,office [7] office,revealed [7] revealed,documents [7] documents,obtained [7] obtained,#foia [7] #foia,kevinbogardus Top Replied-To in Entire Graph:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: