The graph represents a network of 1,180 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, 04 June 2020 at 14:57 UTC.
The requested start date was Thursday, 04 June 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 12-day, 19-hour, 8-minute period from Thursday, 21 May 2020 at 05:10 UTC to Wednesday, 03 June 2020 at 00:18 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 : 1180
Unique Edges : 1056
Edges With Duplicates : 1920
Total Edges : 2976
Number of Edge Types : 5
Tweet : 174
Retweet : 834
MentionsInRetweet : 1394
Mentions : 497
Replies to : 77
Self-Loops : 185
Reciprocated Vertex Pair Ratio : 0.0312868949232586
Reciprocated Edge Ratio : 0.0606754436176302
Connected Components : 129
Single-Vertex Connected Components : 50
Maximum Vertices in a Connected Component : 651
Maximum Edges in a Connected Component : 1886
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 4.770139
Graph Density : 0.00125573237877546
Modularity : 0.555055
NodeXL Version : 1.0.1.433
Data Import : The graph represents a network of 1,180 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, 04 June 2020 at 14:57 UTC.
The requested start date was Thursday, 04 June 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 12-day, 19-hour, 8-minute period from Thursday, 21 May 2020 at 05:10 UTC to Wednesday, 03 June 2020 at 00:18 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 G2:
[105] στη,βουλή [100] δημόσια,διαβούλευση [88] στο,opengov [88] ο,k_hatzidakis [88] k_hatzidakis,καταργεί [88] καταργεί,τη [88] τη,δημόσια [88] διαβούλευση,νομοσχέδια [88] νομοσχέδια,πάνε [88] πάνε,στη Top Word Pairs in Tweet in G3:
[71] #opengov,#transparency [63] vcog,daily [63] daily,access [62] access,news [62] exclusive,government [62] government,censored [62] censored,bame [62] bame,covid [62] covid,risk [62] risk,review Top Word Pairs in Tweet in G4:
[8] cfoic,coloradopress [6] coloradopress,colorado [6] colorado,broadcasters [6] broadcasters,spjcolo [5] spjcolo,sent [5] sent,letter [5] letter,officials [5] officials,today [5] today,regarding [5] regarding,law Top Word Pairs in Tweet in G5:
[30] î,î [30] îµî,î [30] î,îµî [30] î,îºî [30] îµï,î [30] îºî,î [30] ïƒï,î [30] opengov,asia [30] î,îµï [30] î,ïƒï Top Word Pairs in Tweet in G6:
[170] #opengov,files [12] redmatriz,#opengov [11] #datosabiertos,mejorar [11] vida,personas [10] personas,apertura [10] apertura,respuesta [8] webinar,#datosabiertos [7] files,justo [7] justo,10 [6] publicaba,primer Top Word Pairs in Tweet in G7:
[26] #opengov,empfehlungen [24] empfehlungen,setzen [22] setzen,offene [22] offene,standards [22] standards,die [22] die,meisten [21] meisten,finden [13] finden,standards [13] standards,papier [13] codeforde,#opengov Top Word Pairs in Tweet in G8:
[17] come,hear [17] join,raleighbrigade [17] ncopenpass,come [17] hear,codeforphilly [17] codeforphilly,pennmedicine [17] pennmedicine,teamed [17] teamed,build [17] build,#covid [17] #covid,19 [16] 19,app Top Word Pairs in Tweet in G9:
[13] cmac324,hardballchris [11] charhartman,cmac324 [10] liberty_opengov,charhartman [7] liberty_opengov,cmac324 [7] saywhat95,liberty_opengov [7] donald,trump [7] four,more [7] admrablsnackbar,charhartman [7] johnrobertsfox,astrazeneca [7] astrazeneca,kyraphillips Top Word Pairs in Tweet in G10:
[21] editorial,seattletimes [11] seattletimes,calls [8] calls,greater [8] greater,#covid19 [3] #covid19,spending [2] spending,transparency [2] transparency,œshould [2] œshould,priority [2] priority,govinslee [2] washingtonsrc,editorial Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: