The graph represents a network of 2,227 Twitter users whose tweets in the requested range contained "govtech", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 12 September 2022 at 00:44 UTC.
The requested start date was Monday, 12 September 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, 2-hour, 51-minute period from Monday, 29 August 2022 at 00:09 UTC to Sunday, 11 September 2022 at 03:00 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 : 2227
Unique Edges : 1674
Edges With Duplicates : 5875
Total Edges : 7549
Number of Edge Types : 5
Retweet : 2177
MentionsInRetweet : 2974
Tweet : 1328
Replies to : 61
Mentions : 1009
Self-Loops : 1372
Reciprocated Vertex Pair Ratio : 0.0397456279809221
Reciprocated Edge Ratio : 0.0764525993883792
Connected Components : 577
Single-Vertex Connected Components : 401
Maximum Vertices in a Connected Component : 942
Maximum Edges in a Connected Component : 5233
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 5.409447
Graph Density : 0.000527706401586992
Modularity : 0.35298
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 2,227 Twitter users whose tweets in the requested range contained "govtech", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 12 September 2022 at 00:44 UTC.
The requested start date was Monday, 12 September 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, 2-hour, 51-minute period from Monday, 29 August 2022 at 00:09 UTC to Sunday, 11 September 2022 at 03:00 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 : govtech
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:
[202] ø,ù [200] #fintech,#insurtech [165] #metaverse,#nft [156] ù,ø [153] ãƒ,ム[148] #insurtech,#fintech [142] #nft,#payments [132] #insurtech,#finserv [132] ø,ø [122] #fintech,#finsevr Top Word Pairs in Tweet in G1:
[85] ãƒ,ム[33] ãƒ,èª [33] åœ,freeeç [33] ãƒ,ト [32] freeeã,œgovtechå [32] œgovtechå,åœ [32] freeeç,ム[32] èª,ム[31] impress,watch [30] government,technology Top Word Pairs in Tweet in G2:
[196] #fintech,#insurtech [160] #metaverse,#nft [145] #insurtech,#fintech [138] #nft,#payments [122] #insurtech,#finserv [119] #fintech,#finsevr [92] #finsevr,#ai [82] pymnts,#fintech [75] œ,#metaverse [74] #marketing,#fintech Top Word Pairs in Tweet in G3:
[15] digital,government [15] register,september [15] september,lunch [15] lunch,learn [15] learn,webinar [15] webinar,govtechnews [15] govtechnews,oracle [15] oracle,explore [15] explore,health [15] health,human Top Word Pairs in Tweet in G4:
[57] govtech東京の設立構想の発表,都庁の外に新団体設立し開発に適した人事制度や制度 [57] 都庁の外に新団体設立し開発に適した人事制度や制度,文化の組織を作る [57] 文化の組織を作る,62区市町村と人材 [57] 62区市町村と人材,教育 [57] 教育,調達 [57] 調達,開発などの [57] 開発などの,共同化 [57] 共同化,をを推進し都庁のデジタル化から東京都全体のデジタル化を目指す構想 [56] miyasaka,govtech東京の設立構想の発表 [24] 東京都の行政dxを推進する新組織,govtech Top Word Pairs in Tweet in G5:
[8] #govtechawards,initiative [7] ciudades,inteligentes [7] govtech,awards [6] alrededor,mundo [6] mundo,administraciones [6] administraciones,pãºblicas [6] pãºblicas,estã [6] estã,experimentando [6] experimentando,#transformaciã [6] #transformaciã,extraordinaria Top Word Pairs in Tweet in G6:
[12] rol,representantes [11] mesa,redonda [8] sesiã,#govtech [7] representantes,pãºblicos [7] redonda,rol [7] próximo,lunes [6] startupole,charochavez1 [5] somos,lideres [5] lideres,vertical [5] vertical,#govtech Top Word Pairs in Tweet in G7:
[47] montenegro,estonia [47] estonia,nato [47] nato,applicant [47] applicant,finland [47] finland,three [47] three,countries [47] countries,being [47] being,hit [47] hit,hard [47] hard,sophisticated Top Word Pairs in Tweet in G8:
[9] offering,online [7] anticipation,banned [7] banned,books [7] books,week [7] week,ncacensorship [7] ncacensorship,offering [7] online,multimedia [7] multimedia,resources [7] resources,lesson [7] lesson,plans Top Word Pairs in Tweet in G9:
[36] next,generation [35] smart,cities [29] wi,fi [28] speed,security [28] important,people [28] people,important [28] already,delivering [28] delivering,next [27] security,important [27] important,citizens Top Word Pairs in Tweet in G10:
[23] govtech,conference [21] 2022,govtech [18] service,delivery [17] technology,enhance [17] enhance,service [16] please,visit [14] durban,exhibition [13] learn,more [13] using,technology [13] delivery,2022 Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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Top Replied-To in G5:
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:
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Top Mentioned in G5:
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Top Mentioned in G7:
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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:
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Top Tweeters in G9:
Top Tweeters in G10: