The graph represents a network of 2,233 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, 22 August 2022 at 00:37 UTC.
The requested start date was Monday, 22 August 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 12-day, 3-hour, 34-minute period from Monday, 08 August 2022 at 00:05 UTC to Saturday, 20 August 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 : 2233
Unique Edges : 2364
Edges With Duplicates : 6685
Total Edges : 9049
Number of Edge Types : 5
Retweet : 2423
MentionsInRetweet : 4130
Tweet : 1267
Mentions : 1179
Replies to : 50
Self-Loops : 1311
Reciprocated Vertex Pair Ratio : 0.0424148606811146
Reciprocated Edge Ratio : 0.0813780813780814
Connected Components : 546
Single-Vertex Connected Components : 365
Maximum Vertices in a Connected Component : 1185
Maximum Edges in a Connected Component : 7330
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.23907
Graph Density : 0.000675554207256098
Modularity : 0.32303
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 2,233 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, 22 August 2022 at 00:37 UTC.
The requested start date was Monday, 22 August 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 12-day, 3-hour, 34-minute period from Monday, 08 August 2022 at 00:05 UTC to Saturday, 20 August 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:
[710] #fintech,#insurtech [635] #insurtech,#finserv [478] #finserv,#marketing [223] biometricupdate,#fintech [222] #insurtech,#fintech [176] #marketing,#payments [175] #fintech,#finsevr [156] #finsevr,#ai [134] #ai,#edtech [125] #payments,#100daysofcode Top Word Pairs in Tweet in G1:
[62] government,technology [36] earlier,month [36] month,senators [36] senators,introduced [36] introduced,bill [36] bill,better [36] better,ensure [36] ensure,resiliency [36] resiliency,federal [36] federal,data Top Word Pairs in Tweet in G2:
[556] #fintech,#insurtech [510] #insurtech,#finserv [372] #finserv,#marketing [215] #insurtech,#fintech [182] biometricupdate,#fintech [170] #fintech,#finsevr [152] #finsevr,#ai [131] #ai,#edtech [127] #marketing,#payments [89] #edtech,#govtech Top Word Pairs in Tweet in G3:
[144] #fintech,#insurtech [116] #insurtech,#finserv [98] #finserv,#marketing [44] #marketing,#payments [44] #tensorflow,#python [43] #python,enricomolinari [42] #flutter,#javascript [42] #payments,#100daysofcode [38] #modelops,#devops [38] biometricupdate,#fintech Top Word Pairs in Tweet in G4:
[13] question,day [13] digital,equity [12] roads,water [10] local,government [10] broadband,expansion [9] public,agencies [9] state,local [9] state,broadband [8] steve,nichols [8] broadband,office Top Word Pairs in Tweet in G5:
[36] ciudades,inteligentes [34] xiv,encuentro [34] encuentro,ciudades [32] inteligentes,govtech [14] martes,23 [13] princeconsul,reciarg [11] sector,público [11] 23,online [11] online,13 [11] 13,hs Top Word Pairs in Tweet in G6:
[22] #gis,#esri [15] #govtech,#statelocalit [14] #statelocalit,#govit [10] #esri,#arcgis [10] #govit,#gmis [8] #esri,#urisa [7] prince,george's [7] #apwa,#publicworks [7] aws_gov,learn [7] learn,rubicon Top Word Pairs in Tweet in G7:
[32] state,local [30] help,state [30] local,government [30] election,officials [29] icymi,cisagov [29] cisagov,toolkit [29] toolkit,offers [29] offers,free [29] free,services [29] services,resources Top Word Pairs in Tweet in G8:
[31] private,sector [30] ai,iot [30] iot,edge [30] edge,computing [30] computing,already [30] already,supporting [30] supporting,private [30] sector,businesses [30] businesses,#govtech [30] #govtech,greatest Top Word Pairs in Tweet in G9:
[5] finale,event [5] code,govtech [5] govtech,#c4gt [4] #c4gt,finale [4] event,today [4] today,marks [4] marks,end [4] end,first [4] first,cohort [4] cohort,coding Top Word Pairs in Tweet in G10:
[19] #business,#government [12] risk,#databreach [10] pass,along [10] create,agility [9] #business,#govtech [9] #govtech,#ict [9] #govtech,#cto [8] #cybersecurity,#fintech [8] #ict,#cto [8] #secure,#data Top Replied-To in Entire Graph:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G9:
Top Replied-To in G10:
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: