The graph represents a network of 1,180 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, 14 November 2022 at 01:32 UTC.
The requested start date was Monday, 14 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 4-day, 1-hour, 43-minute period from Monday, 31 October 2022 at 01:36 UTC to Friday, 04 November 2022 at 03:20 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 : 1180
Unique Edges : 972
Edges With Duplicates : 1880
Total Edges : 2852
Number of Edge Types : 5
Retweet : 652
MentionsInRetweet : 983
Mentions : 624
Tweet : 570
Replies to : 23
Self-Loops : 585
Reciprocated Vertex Pair Ratio : 0.0737179487179487
Reciprocated Edge Ratio : 0.137313432835821
Connected Components : 316
Single-Vertex Connected Components : 219
Maximum Vertices in a Connected Component : 308
Maximum Edges in a Connected Component : 1025
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.941931
Graph Density : 0.0009631833929932
Modularity : 0.462308
NodeXL Version : 1.0.1.507
Data Import : The graph represents a network of 1,180 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, 14 November 2022 at 01:32 UTC.
The requested start date was Monday, 14 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 4-day, 1-hour, 43-minute period from Monday, 31 October 2022 at 01:36 UTC to Friday, 04 November 2022 at 03:20 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:
[119] ãƒ,ム[47] modernization,efforts [45] efforts,extreme [45] way,make [45] #smartcity,#govtech [45] security,way [45] read,case [45] networks,security [45] county's,modernization [45] busy,running Top Word Pairs in Tweet in G1:
[46] modernization,efforts [45] running,communities [45] study,loudoun [45] loudoun,county's [45] security,way [45] #smartcity,#govtech [45] networks,security [45] local,govt [45] jobs,easier [45] govt,teams Top Word Pairs in Tweet in G2:
[42] #fintech,#finserv [41] #fintech,#insurtech [34] bankingdive,#fintech [32] #marketing,#fintech [29] fintechna,#marketing [28] #insurtech,#finserv [27] œ,#metaverse [26] #fintech,#insurtechâ [23] #finsevr,#ai [22] #finserv,#govtech Top Word Pairs in Tweet in G3:
[15] govtech,summit [12] #govtech,ecosystems [11] building,#govtech [11] discussion,building [10] sommetgovtech,#govtechsummit [9] joining,showcase [9] showcase,#govtech [9] still,booming [9] orgs,joining [9] #govtech,transformation Top Word Pairs in Tweet in G4:
[8] honeywell,accelerator [8] state,local [8] accelerator,america [8] smart,city [7] last,week [6] chief,information [5] panel,last [5] improvements,help [5] help,shape [5] read,more Top Word Pairs in Tweet in G5:
[18] global,thought [18] thought,leaders [18] leaders,influencers [17] 50,global [14] top,50 [14] influencers,govtech [13] govtech,2022 [12] congrats,top [12] 2022,feat [8] thinkers360,congrats Top Word Pairs in Tweet in G6:
[30] thursday,beyondtrust [30] november,coming [30] florida,leadership [30] forum,tallahassee [30] beyondtrust,patron [30] tallahassee,thursday [30] coming,florida [30] leadership,forum [28] beyondtrust,november [28] patron,sponsorâ Top Word Pairs in Tweet in G7:
[30] ciudades,inteligentes [21] inteligentes,govtech [18] gobierno,servicios [18] servicios,pãºblicos [18] congreso,gobierno [14] smart,cities [13] espacio,govtech [13] pãºblicos,2022 [13] govtech,smart [13] cities,congreso Top Word Pairs in Tweet in G8:
[9] #govtech,#cdwsocial [8] govtech,#cdwsocial [7] traffic,analytics [7] important,traffic [7] analytics,roadway [7] using,#tech [7] viable,framework [7] make,robotics [7] #tech,#data [7] learn,lessons Top Word Pairs in Tweet in G9:
[22] covid,sped [22] digital,nations [22] program,digital [22] korea,covid [22] worldbank,#govtech [22] forum,korea [22] today,presented [22] global,forum [22] sped,digital [22] presented,worldbank Top Word Pairs in Tweet in G10:
[4] government,job [4] tech,'ai [4] #analytics,#machinelearning [4] bill,rights' [4] #bigdata,#python [4] #iot,#bigdata [4] emerging,tech [4] #ai,#iot [4] help,government [4] teaching,emerging Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
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:
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Top Tweeters in G9:
Top Tweeters in G10: