The graph represents a network of 1,724 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 Friday, 13 December 2019 at 01:36 UTC.
The requested start date was Thursday, 12 December 2019 at 01:01 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 13-day, 22-hour, 25-minute period from Thursday, 28 November 2019 at 01:58 UTC to Thursday, 12 December 2019 at 00:23 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 : 1724
Unique Edges : 2357
Edges With Duplicates : 1169
Total Edges : 3526
Number of Edge Types : 3
Mentions : 3097
Tweet : 338
Replies to : 91
Self-Loops : 338
Reciprocated Vertex Pair Ratio : 0.041429731925264
Reciprocated Edge Ratio : 0.0795631825273011
Connected Components : 181
Single-Vertex Connected Components : 73
Maximum Vertices in a Connected Component : 855
Maximum Edges in a Connected Component : 2074
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 5.226087
Graph Density : 0.000863168298965949
Modularity : 0.675213
NodeXL Version : 1.0.1.422
Data Import : The graph represents a network of 1,724 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 Friday, 13 December 2019 at 01:36 UTC.
The requested start date was Thursday, 12 December 2019 at 01:01 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 13-day, 22-hour, 25-minute period from Thursday, 28 November 2019 at 01:58 UTC to Thursday, 12 December 2019 at 00:23 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:
[1896] î,î [120] î,ïƒî [103] ïƒî,î [91] î,ïƒï [81] ïƒï,î [76] îºî,î [75] î,îµï [69] îµï,î [66] î,îºî [64] open,government Top Word Pairs in Tweet in G1:
[39] opengovpart,join [25] join,anticorruption [25] anticorruption,day [25] day,december [25] december,worldbanklive [25] worldbanklive,event [25] event,ending [25] ending,shell [25] shell,game [25] game,global Top Word Pairs in Tweet in G2:
[13] foia,advisory [13] advisory,committee [9] good,morning [9] morning,usnatarchives [9] usnatarchives,ve [9] ve,returned [9] returned,another [9] another,foia [9] committee,meeting [9] meeting,hosted Top Word Pairs in Tweet in G3:
[28] gran,campaña [28] campaña,contraloriacl [28] contraloriacl,día [28] día,internacional [28] internacional,anti [28] anti,corrupción [28] corrupción,diversas [28] diversas,formas [28] formas,expresa [27] redmatriz,gran Top Word Pairs in Tweet in G4:
[36] î,î [28] opengov,asia [6] vcog,daily [6] news,12 [5] #opengov,#opendata [5] 12,19 [4] #opendata,#opengov [4] daily,#access [4] #access,news [4] #foia,#transparency Top Word Pairs in Tweet in G5:
[21] staatlich,erzeugte [21] erzeugte,öffentlich [21] öffentlich,finanzierte [21] finanzierte,inhalte [21] inhalte,#glyphosat [21] #glyphosat,gutachten [21] gutachten,müssen [21] müssen,uneingeschränkt [21] uneingeschränkt,zugänglich [20] wikimediade,staatlich Top Word Pairs in Tweet in G6:
[13] #opendata,#opengov [5] #opengov,#opendata [5] open,government [5] roles,look [5] look,_amazing_ [5] _amazing_,needn't [5] needn't,canadian [5] canadian,apply [5] apply,#opendata [5] #opendata,#opentech Top Word Pairs in Tweet in G7:
[15] two,initiatives [15] initiatives,showcasing [15] showcasing,citizens [15] citizens,play [15] play,role [15] role,#cohesionpolicy [15] #cohesionpolicy,festival [14] regioadmcap,two [14] festival,#citizenengagement [12] online,#partecipa Top Word Pairs in Tweet in G8:
[9] sunshine,laws [9] makes,great [9] great,stocking [9] stocking,stuffer [9] stuffer,here's [9] here's,order [8] denver_housing,authority [8] authority,charging [8] charging,143 [8] 143,75 Top Word Pairs in Tweet in G9:
[42] one,half [42] half,year [42] year,ago [42] ago,tweeted [42] tweeted,government [42] government,transparent [42] transparent,unless [42] unless,citizens [42] citizens,view [42] view,revenues Top Word Pairs in Tweet in G10:
[10] liberty_opengov,jvann518 [10] jvann518,diaperfire [10] diaperfire,rpd158 [10] rpd158,jaketapper [10] jaketapper,scotusreporter [10] scotusreporter,scotusblog [5] happynanax4,liberty_opengov [4] bruceehrenberg,liberty_opengov [2] whitehouse,realdonaldtrump [2] tedcruz,#russianasset 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 G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
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: