The graph represents a network of 2,997 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, 19 September 2022 at 00:41 UTC.
The requested start date was Monday, 19 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, 3-hour, 16-minute period from Monday, 05 September 2022 at 00:14 UTC to Sunday, 18 September 2022 at 03:30 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 : 2997
Unique Edges : 2147
Edges With Duplicates : 6651
Total Edges : 8798
Number of Edge Types : 5
Retweet : 2458
MentionsInRetweet : 3478
Mentions : 1212
Tweet : 1544
Replies to : 106
Self-Loops : 1584
Reciprocated Vertex Pair Ratio : 0.036888761795825
Reciprocated Edge Ratio : 0.0711527854384997
Connected Components : 665
Single-Vertex Connected Components : 484
Maximum Vertices in a Connected Component : 1193
Maximum Edges in a Connected Component : 5218
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 5.296814
Graph Density : 0.000403830621899158
Modularity : 0.417242
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 2,997 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, 19 September 2022 at 00:41 UTC.
The requested start date was Monday, 19 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, 3-hour, 16-minute period from Monday, 05 September 2022 at 00:14 UTC to Sunday, 18 September 2022 at 03:30 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:
[446] govtech,東京 [444] 東京都がdx新組織,govtech [359] 東京,コレです [359] コレです,お姐が預言していた [359] お姐が預言していた,宮坂学副知事鳴り物入り [359] 宮坂学副知事鳴り物入り,古巣yahoo [359] 古巣yahoo,人脈天下り団体 [359] 人脈天下り団体,dx戦略の都庁人材育成目的はどこへやら [359] dx戦略の都庁人材育成目的はどこへやら,トモダチ人材外郭団体へ高額丸投げに [359] トモダチ人材外郭団体へ高額丸投げに,今から言う Top Word Pairs in Tweet in G1:
[85] ãƒ,ム[60] public,sector [53] #govtech,#publicsector [50] sector,organisations [50] #publicsector,#whereeverythingconnects [45] eservices,geolocation [45] geolocation,expert [45] expert,colleague [45] colleague,fatima [45] fatima,explores Top Word Pairs in Tweet in G2:
[357] 東京都がdx新組織,govtech [357] govtech,東京 [357] 東京,コレです [357] コレです,お姐が預言していた [357] お姐が預言していた,宮坂学副知事鳴り物入り [357] 宮坂学副知事鳴り物入り,古巣yahoo [357] 古巣yahoo,人脈天下り団体 [357] 人脈天下り団体,dx戦略の都庁人材育成目的はどこへやら [357] dx戦略の都庁人材育成目的はどこへやら,トモダチ人材外郭団体へ高額丸投げに [357] トモダチ人材外郭団体へ高額丸投げに,今から言う Top Word Pairs in Tweet in G3:
[148] #marketing,#fintech [127] map,full [127] full,venturescanner [127] venturescanner,report [127] report,data [104] #fintech,#insurtech [94] #insurtech,#finserv [89] #insurtech,#fintech [89] pymnts,#fintech [85] #fintech,#finsevr Top Word Pairs in Tweet in G4:
[30] digital,equity [27] govtech,#cdwsocial [26] students,coerced [26] coerced,giving [26] giving,private [26] private,data [26] data,pass [26] pass,classes [26] classes,eff [26] eff,jgkelley Top Word Pairs in Tweet in G5:
[63] 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 [63] 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 [63] 文化の組織を作る,62区市町村と人材 [63] 62区市町村と人材,教育 [63] 教育,調達 [63] 調達,開発などの [63] 開発などの,共同化 [63] 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 [62] miyasaka,govtech東京の設立構想の発表 [56] govtech東京,設立構想を発表しました Top Word Pairs in Tweet in G6:
[70] #govtech,conference [43] govtech,conference [42] govtech,2022 [38] conference,durban [35] day,#govtech [30] digital,transformation [25] annual,govtech [25] government,ict [24] durban,exhibition [21] exhibition,centre Top Word Pairs in Tweet in G7:
[10] next,generation [9] speed,security [9] security,important [9] important,people [9] people,important [9] important,citizens [9] citizens,wi [9] wi,fi [9] fi,already [9] already,delivering Top Word Pairs in Tweet in G8:
[17] govtech,startups [16] 12,govtech [13] public,sector [12] startups,make [12] make,incoming [12] incoming,civstart [11] sector,leaders [11] more,info [11] info,register [10] calling,county Top Word Pairs in Tweet in G9:
[24] 22,09 [23] 09,director [23] director,aristinat [23] #govtech,conference [14] aristinat,take [14] take,part [14] part,digi_vlaanderen's [14] digi_vlaanderen's,annual [14] annual,#govtech [14] conference,together Top Word Pairs in Tweet in G10:
[48] #government,agency [43] #govtech,#technology [39] #integration,#ipaas [35] read,#blog [29] #technology,#software [27] #blog,learn [24] october,salt [24] salt,lake [24] lake,city [24] city,ut Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: