The graph represents a network of 782 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, 09 June 2022 at 14:36 UTC.
The requested start date was Thursday, 09 June 2022 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, 21-hour, 14-minute period from Thursday, 26 May 2022 at 00:17 UTC to Wednesday, 08 June 2022 at 21:31 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 : 782
Unique Edges : 645
Edges With Duplicates : 1410
Total Edges : 2055
Number of Edge Types : 5
Mentions : 383
Retweet : 513
MentionsInRetweet : 852
Replies to : 45
Tweet : 262
Self-Loops : 282
Reciprocated Vertex Pair Ratio : 0.0451422963689892
Reciprocated Edge Ratio : 0.0863849765258216
Connected Components : 117
Single-Vertex Connected Components : 51
Maximum Vertices in a Connected Component : 419
Maximum Edges in a Connected Component : 1338
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 4.019534
Graph Density : 0.00174378051615903
Modularity : 0.475578
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 782 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, 09 June 2022 at 14:36 UTC.
The requested start date was Thursday, 09 June 2022 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, 21-hour, 14-minute period from Thursday, 26 May 2022 at 00:17 UTC to Wednesday, 08 June 2022 at 21:31 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:
[1094] î,î [121] opengov,asia [73] î,îµî [68] îµî,î [51] î,îµï [50] îºî,î [46] ïƒï,î [43] î,ïƒï [39] î,îºî [33] ïƒî,î Top Word Pairs in Tweet in G1:
[23] congratulations,#wjchallenge [23] #wjchallenge,winners [23] winners,thesafecityapp [23] thesafecityapp,ibjglobal [23] ibjglobal,transparencitng [23] transparencitng,posfoundation [23] posfoundation,weareinreach [22] janmbeagle,congratulations [19] #anticorruption,#opengov [19] work,progress Top Word Pairs in Tweet in G2:
[15] data,journalism [12] digiphile,data [7] #ddj,#opengov [6] open,government [6] journalism,poorer [6] poorer,areas [6] areas,angeles [6] angeles,slower [6] slower,city [6] city,services Top Word Pairs in Tweet in G3:
[27] justice,policy [27] policy,series [16] 3rd,final [16] final,part [16] ogpâ,justice [15] publication,œaccountability [15] œaccountability,democratic [15] democratic,renewalâ [15] renewalâ,3rd [15] part,ogpâ Top Word Pairs in Tweet in G4:
[68] opengov,asia [27] î,î [11] asia,opengov [9] opengovâ,asia [8] vcog,daily [8] daily,access [8] access,news [7] cyber,security [7] gobierno,abierto [6] asia,#whatsapp Top Word Pairs in Tweet in G5:
[31] gouvernement,ouvert [22] ouvert,local [17] rã,gional [14] sã,minaire [13] prix,gouvernement [12] minaire,rã [12] gional,#pagof [9] sociã,tã [8] local,bénin [8] local,villeavrankou Top Word Pairs in Tweet in G6:
[5] agatadata,consejeriatic [5] consejeriatic,gab_bogota [5] gab_bogota,alcaldiademed [5] alcaldiademed,sebastian_tic [5] sebastian_tic,felipks [5] felipks,ministerio_tic [5] ministerio_tic,secticundi [5] secticundi,misiontic22unal [4] lab101unal,agatadata Top Word Pairs in Tweet in G7:
[13] pawtucket,soccer [13] soccer,stadium [7] commerceri,board [7] board,meeting [7] meeting,again [7] again,fate [7] fate,proposed [7] proposed,pawtucket [7] stadium,monday [7] monday,met Top Word Pairs in Tweet in G8:
[2] communitysolsed,cuyahogacounty [2] cuyahogacounty,chnhousing [2] chnhousing,chrisronayne [2] chrisronayne,weingart2022 [2] weingart2022,ericjbrewercle [2] ericjbrewercle,cuyahogacouncil [2] racheldissell,city_bureau [2] city_bureau,justinmbibb [2] justinmbibb,martinomalley [2] martinomalley,arcgishub Top Word Pairs in Tweet in G9:
[13] ðÿž,aperto [13] aperto,bando [13] bando,#opengovchampion [13] #opengovchampion,2022 [13] 2022,quest'anno [13] quest'anno,premiamo [13] premiamo,migliori [13] migliori,progetti [13] progetti,#governoaperto [13] #governoaperto,realizzati Top Word Pairs in Tweet in G10:
[20] œndp,ethics [20] ethics,critic [20] critic,matthew [20] matthew,green [20] green,questioned [20] questioned,canada [20] canada,arms [20] arms,length [20] length,third [20] third,party 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 G6:
Top Replied-To in G8:
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: