The graph represents a network of 2,051 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, 21 November 2022 at 01:33 UTC.
The requested start date was Monday, 21 November 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 8-day, 14-hour, 45-minute period from Friday, 11 November 2022 at 12:53 UTC to Sunday, 20 November 2022 at 03:39 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 : 2051
Unique Edges : 2177
Edges With Duplicates : 7590
Total Edges : 9767
Number of Edge Types : 5
Mentions : 2520
Retweet : 1663
MentionsInRetweet : 4654
Tweet : 874
Replies to : 56
Self-Loops : 905
Reciprocated Vertex Pair Ratio : 0.0485606280895609
Reciprocated Edge Ratio : 0.0926234054353855
Connected Components : 434
Single-Vertex Connected Components : 291
Maximum Vertices in a Connected Component : 1176
Maximum Edges in a Connected Component : 8473
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 6.0755
Graph Density : 0.000857642316062361
Modularity : 0.320958
NodeXL Version : 1.0.1.507
Data Import : The graph represents a network of 2,051 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, 21 November 2022 at 01:33 UTC.
The requested start date was Monday, 21 November 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 8-day, 14-hour, 45-minute period from Friday, 11 November 2022 at 12:53 UTC to Sunday, 20 November 2022 at 03:39 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:
[372] #fintech,#marketing [329] #finserv,#fintech [215] #metaverse,#govtech [215] #marketing,#metaverse [179] enricomolinari,#finserv [166] government,agencies [164] maturity,index [157] public,safety [148] agencies,need [147] leadership,poses Top Word Pairs in Tweet in G1:
[50] read,more [47] more,#govtech [42] government,technology [42] critical,infrastructure [41] concentrate,#cybersecurity [41] year,cisa [41] #edtech,#healthcareit [41] sectors,assets [41] water,education [41] healthcare,read Top Word Pairs in Tweet in G2:
[323] #fintech,#marketing [290] #finserv,#fintech [179] #metaverse,#govtech [179] #marketing,#metaverse [148] enricomolinari,#finserv [136] #marketing,#govtech [111] #govtech,#insurtech [110] #insurtech,#finserv [86] khulood_almani,avrohomg [86] pierrepinna,kirkdborne Top Word Pairs in Tweet in G3:
[36] maturity,index [35] #govtech,maturity [24] core,government [22] index,measures [22] maturity,focus [22] #digitaltransformation,core [22] focus,areas [22] public,sector [22] measures,maturity [22] areas,public Top Word Pairs in Tweet in G4:
[145] government,agencies [144] public,safety [142] musk,erratic [142] threat,public [142] wrote,government [142] agencies,need [142] poses,threat [142] safety,wrote [142] need,consider [142] leadership,poses Top Word Pairs in Tweet in G5:
[19] digital,cities [19] read,more [18] cities,survey [17] 2022,digital [15] survey,winner [13] digital,equity [13] state,local [13] govtechnews,#cdwsocial [12] recognized,2022 [12] #govtech,#cdwsocial Top Word Pairs in Tweet in G6:
[72] brasil,foi [72] nal,brasil [72] pelo,bancomundialbr [72] sen,sa [72] ci,nal [72] digital,atrás [72] 2º,líder [72] líder,mundo [72] foi,reconhecido [72] governo,digital Top Word Pairs in Tweet in G7:
[44] achieved,third [44] place,globally [44] third,place [36] index,issued [36] issued,world [36] world,bank [35] globally,govtech [35] bank,group [35] govtech,index [35] group,2022 Top Word Pairs in Tweet in G8:
[3] report,lists [3] sea,level [3] level,rise [3] lists,strategies [3] strategies,sea [3] rise,threat [3] hawaii,report [2] digital,maps [2] resilientoahu,hawaii_ema [2] states,look Top Word Pairs in Tweet in G9:
[25] govtech,maturity [24] maturity,index [20] group,countries [19] worldbank,govtech [19] vice,líder [19] co,w8ckqxogs8 [19] index,co [19] worldbank,198 [19] w8ckqxogs8,kosova [19] mundial,em Top Word Pairs in Tweet in G10:
[47] transformação,digital [45] maturity,index [45] govtech,maturity [45] index,2022 [38] 2022,plataforma [38] brasil,avançou [38] plataforma,ações [38] digital,brasil [38] ações,transformação [37] secomvc,govtech Top Replied-To in Entire Graph:
Top Replied-To in G3:
Top Replied-To in G4:
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: