The graph represents a network of 2,746 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, 02 May 2022 at 00:38 UTC.
The requested start date was Monday, 02 May 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, 54-minute period from Monday, 18 April 2022 at 00:10 UTC to Sunday, 01 May 2022 at 03:05 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 : 2746
Unique Edges : 2283
Edges With Duplicates : 7083
Total Edges : 9366
Number of Edge Types : 5
Retweet : 2694
MentionsInRetweet : 3882
Tweet : 1436
Mentions : 1268
Replies to : 86
Self-Loops : 1483
Reciprocated Vertex Pair Ratio : 0.0327186198691255
Reciprocated Edge Ratio : 0.0633640552995392
Connected Components : 634
Single-Vertex Connected Components : 423
Maximum Vertices in a Connected Component : 1536
Maximum Edges in a Connected Component : 7485
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 6.647633
Graph Density : 0.000460613682826619
Modularity : 0.368626
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 2,746 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, 02 May 2022 at 00:38 UTC.
The requested start date was Monday, 02 May 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, 54-minute period from Monday, 18 April 2022 at 00:10 UTC to Sunday, 01 May 2022 at 03:05 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:
[851] #fintech,#insurtech [679] #insurtech,#finserv [497] #finserv,#marketing [244] #marketing,#web3 [166] fatales,signal [143] #web3,#neobanks [141] #marketing,#payments [132] #neobanks,#payments [127] #payments,#100daysofcode [109] habe,nochmal Top Word Pairs in Tweet in G1:
[46] government,technology [43] announced,formation [43] formation,first [43] first,bureau [43] bureau,cyberspace [43] cyberspace,digital [43] digital,policy [43] policy,office [43] office,dedicated [43] dedicated,national Top Word Pairs in Tweet in G2:
[825] #fintech,#insurtech [656] #insurtech,#finserv [479] #finserv,#marketing [231] #marketing,#web3 [141] #marketing,#payments [136] #web3,#neobanks [126] #neobanks,#payments [124] #payments,#100daysofcode [92] #ai,#govtech [78] #marketing,#fintech Top Word Pairs in Tweet in G3:
[49] govtechnews,#cdwsocial [25] digital,equity [18] digital,world [16] gain,skills [16] skills,both [16] both,digital [16] past,year [16] state,local [15] here's,prime [15] prime,example Top Word Pairs in Tweet in G4:
[150] fatales,signal [109] habe,nochmal [109] nochmal,heise [109] heise,bisschenwas [109] bisschenwas,dazu [109] dazu,geschrieben [109] geschrieben,warum [109] warum,govtechcampusde [109] govtechcampusde,fatales [108] lilithwittmann,habe Top Word Pairs in Tweet in G5:
[25] fondo,córdoba [25] córdoba,ciudad [25] ciudad,inteligente [18] consejo,consultivo [17] tuve,gusto [17] gusto,presidir [17] presidir,primera [17] primera,reunión [17] reunión,consejo [17] consultivo,fondo Top Word Pairs in Tweet in G6:
[97] ciudades,movilidad [92] movilidad,economía [90] economía,digital [73] encuentro,internacional [73] internacional,ciudades [53] lt,encuentro [51] 29,abril [48] encuentro,ciudades [42] digital,gt [36] 28,29 Top Word Pairs in Tweet in G7:
[9] platform,allows [9] allows,educators [9] educators,create [8] designed,foundation [8] create,lessons [7] #oss,#highered [7] #highered,designed [7] foundation,#opensource [7] #opensource,technology [7] technology,asu Top Word Pairs in Tweet in G8:
[18] distributed,digital [15] digital,identity [15] register,learn [15] learn,approach [15] approach,mfa [15] mfa,eliminates [15] eliminates,one [15] one,time [15] time,codes [15] codes,overcome Top Word Pairs in Tweet in G9:
[2] mesa,ariz [2] ariz,seeks [2] seeks,expand [2] expand,911 [2] 911,mental [2] mental,health [2] health,dispatching [2] dispatching,911aburns [2] 911aburns,apcointl [2] apcointl,nct9_1_1 Top Word Pairs in Tweet in G10:
[10] wbg_gov,publication [10] #tech,#digital [10] #digital,#data [10] #data,#privacy [8] tech,savvy [8] savvy,report [8] report,focuses [8] three,key [8] key,analog [8] analog,complements Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G7:
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: