The graph represents a network of 1,212 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, 24 February 2022 at 15:49 UTC.
The requested start date was Thursday, 24 February 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, 19-hour, 42-minute period from Thursday, 10 February 2022 at 01:32 UTC to Wednesday, 23 February 2022 at 21:15 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 : 1212
Unique Edges : 672
Edges With Duplicates : 2165
Total Edges : 2837
Number of Edge Types : 5
Retweet : 896
MentionsInRetweet : 1240
Tweet : 228
Replies to : 47
Mentions : 426
Self-Loops : 256
Reciprocated Vertex Pair Ratio : 0.0204946996466431
Reciprocated Edge Ratio : 0.0401662049861496
Connected Components : 150
Single-Vertex Connected Components : 72
Maximum Vertices in a Connected Component : 358
Maximum Edges in a Connected Component : 1167
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 4.146405
Graph Density : 0.00098383083560214
Modularity : 0.490952
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 1,212 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, 24 February 2022 at 15:49 UTC.
The requested start date was Thursday, 24 February 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, 19-hour, 42-minute period from Thursday, 10 February 2022 at 01:32 UTC to Wednesday, 23 February 2022 at 21:15 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:
[316] 아니,이거 [316] 이거,뭔데 [315] iu_crux,아니 [101] opengov,asia [55] maryland,organizations [46] open,government [39] senbillferg,#keepmdsenatevirtual [39] senate,president [37] 160,maryland [36] organizations,calling Top Word Pairs in Tweet in G1:
[316] 아니,이거 [316] 이거,뭔데 [315] iu_crux,아니 Top Word Pairs in Tweet in G2:
[22] civil,society [21] open,government [21] libro,voces [20] redmatriz,cesarncruz [20] cesarncruz,2012 [19] government,italy [19] gobierno,abierto [18] co,chair [18] editado,redmatriz [17] march,16 Top Word Pairs in Tweet in G3:
[11] mayorbowser,ban [10] ban,use [10] use,whatsapp [10] whatsapp,doesn [10] doesn,appear [10] appear,put [10] put,place [10] place,archiving [10] archiving,rules [9] digiphile,mayorbowser Top Word Pairs in Tweet in G4:
[48] opengov,asia [9] andhra,pradesh [9] pradesh,india [9] india,launches [9] launches,online [9] online,blockchain [9] blockchain,technology [9] technology,course [9] course,opengov [6] asia,opengov Top Word Pairs in Tweet in G5:
[55] maryland,organizations [39] senbillferg,#keepmdsenatevirtual [39] senate,president [37] 160,maryland [36] organizations,calling [34] alert,over [34] over,160 [34] calling,senbillferg [34] #keepmdsenatevirtual,senate [34] senate,moves Top Word Pairs in Tweet in G6:
[22] opengov,asia [13] china,looking [13] looking,regulate [13] regulate,artificial [13] artificial,intelligence [13] intelligence,usage [13] usage,opengov [13] asia,read [13] read,more [12] iainljbrown,china Top Word Pairs in Tweet in G7:
[7] public,records [7] hb,1329 [6] gt,#bospoli [5] wa,state [4] #bospoli,#mapoli [4] #transparency,#accountability [4] hannah,marcley [4] marcley,introduces [4] introduces,revealed [4] revealed,podcast Top Word Pairs in Tweet in G8:
[17] looking,shape [17] shape,future [17] future,national [17] national,archives [17] archives,catalog [17] catalog,seeking [17] seeking,feedback [17] feedback,catalog [17] catalog,users [15] usnatarchives,looking Top Word Pairs in Tweet in G9:
[2] sosayslucia,cledocumenters [2] cledocumenters,racheldissell [2] racheldissell,mayorbibb [2] mayorbibb,good [2] good,news [2] news,counters [2] counters,search [2] search,restored [2] restored,realneo [2] mitchel73986362,eyeonoh Top Word Pairs in Tweet in G10:
[16] national,action [16] action,plan [13] public,consultations [13] consultations,canada [13] canada,5th [13] 5th,national [13] plan,#opengov [11] today,last [11] last,day [11] day,participate Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G5:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
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: