The graph represents a network of 886 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, 15 December 2022 at 15:35 UTC.
The requested start date was Thursday, 15 December 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, 20-hour, 36-minute period from Thursday, 01 December 2022 at 01:07 UTC to Wednesday, 14 December 2022 at 21:43 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 : 886
Unique Edges : 1071
Edges With Duplicates : 1793
Total Edges : 2864
Number of Edge Types : 5
Retweet : 715
MentionsInRetweet : 1499
Tweet : 187
Mentions : 405
Replies to : 58
Self-Loops : 203
Reciprocated Vertex Pair Ratio : 0.0267965895249695
Reciprocated Edge Ratio : 0.0521945432977461
Connected Components : 94
Single-Vertex Connected Components : 33
Maximum Vertices in a Connected Component : 328
Maximum Edges in a Connected Component : 1336
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.1382
Graph Density : 0.0021502085166622
Modularity : 0.474118
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 886 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, 15 December 2022 at 15:35 UTC.
The requested start date was Thursday, 15 December 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, 20-hour, 36-minute period from Thursday, 01 December 2022 at 01:07 UTC to Wednesday, 14 December 2022 at 21:43 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:
[1210] î,î [239] polkadot,opengov [229] opengov,fellowship [228] whitelisted,root [228] fellowship,whitelisted [227] root,call [227] first,polkadot [216] call,kusamanetwork [216] kusamanetwork,enacted [215] enacted,involved Top Word Pairs in Tweet in G1:
[238] polkadot,opengov [228] opengov,fellowship [227] whitelisted,root [227] fellowship,whitelisted [226] first,polkadot [226] root,call [215] kusamanetwork,enacted [215] call,kusamanetwork [214] enacted,involved [210] gavofyork,first Top Word Pairs in Tweet in G2:
[39] gobierno,abierto [39] #opengov,action [31] action,plans [24] action,plan [19] months,ago [19] first,#opengov [19] members,joined [19] #ogplocal,started [19] 30,members [19] joined,#ogplocal Top Word Pairs in Tweet in G3:
[6] advisory,committee [4] archives,#foia [4] arguments,before [4] supreme,court [4] national,archives [4] public,finally [4] co,creation [4] american,public [4] finally,listen [4] livestream,oral Top Word Pairs in Tweet in G4:
[24] texas,txag [24] txag,kenpaxtontx [24] paxton,attorney [24] ken,paxton [24] law,government [24] attorney,general [24] kenpaxtontx,violation [24] violation,law [24] general,texas [24] government,employees Top Word Pairs in Tweet in G5:
[33] ù,ø [32] ø,ù [26] ø,ø [23] î,î [12] ù,ù [5] fy,2023 [4] know,2022 [4] city,commission [4] budget,book [3] open,government Top Word Pairs in Tweet in G6:
[8] #government,egov_campus [8] suche,weihnachtsliteratur [8] heute,adventskalender [8] weihnachtsliteratur,heute [8] #open,#government [8] egov_campus,#openaccess [8] adventskalender,#open [7] #openaccess,lehr [7] wi00194,suche [4] wi00194,freut Top Word Pairs in Tweet in G7:
[6] soir,18h00 [6] liens,d'inscription [6] ce,soir [6] rendez,ce [6] burkina,liens [4] d'inscription,co [4] parler,pog [4] 18h00,parler [4] #opengov,#ogp [4] co,qjtzuf53m7 Top Word Pairs in Tweet in G9:
[2] #wakeboc,#opengov [2] #wakeboc,meeting [2] wake,county Top Word Pairs in Tweet in G10:
[5] wa,state [4] again,alleged [4] violations,body [4] sued,again [4] #opengov,violations [4] commission,sued [4] alleged,#opengov [4] state,redistricting [4] #waleg,#waelex [4] body,running Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G6:
Top Replied-To in G8:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
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Top Tweeters in G10: