The graph represents a network of 2,435 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, 29 August 2022 at 00:38 UTC.
The requested start date was Monday, 29 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 13-day, 3-hour, 18-minute period from Monday, 15 August 2022 at 00:16 UTC to Sunday, 28 August 2022 at 03:34 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 : 2435
Unique Edges : 2556
Edges With Duplicates : 7154
Total Edges : 9710
Number of Edge Types : 5
Retweet : 2350
MentionsInRetweet : 4390
Mentions : 1573
Replies to : 79
Tweet : 1318
Self-Loops : 1376
Reciprocated Vertex Pair Ratio : 0.046359421870739
Reciprocated Edge Ratio : 0.0886108939275476
Connected Components : 565
Single-Vertex Connected Components : 375
Maximum Vertices in a Connected Component : 1335
Maximum Edges in a Connected Component : 7956
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 4.247728
Graph Density : 0.00064739935108212
Modularity : 0.355055
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 2,435 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, 29 August 2022 at 00:38 UTC.
The requested start date was Monday, 29 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 13-day, 3-hour, 18-minute period from Monday, 15 August 2022 at 00:16 UTC to Sunday, 28 August 2022 at 03:34 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:
[393] #fintech,#insurtech [344] #insurtech,#finserv [246] #finserv,#marketing [192] #insurtech,#fintech [156] ciudades,inteligentes [144] #fintech,#finsevr [140] biometricupdate,#fintech [135] #finsevr,#ai [129] enricomolinari,#nfts [125] inteligentes,govtech Top Word Pairs in Tweet in G1:
[57] government,technology [38] #cybersecurity,#govtech [37] federal,data [36] earlier,month [36] month,senators [36] senators,introduced [36] introduced,bill [36] bill,better [36] better,ensure [36] ensure,resiliency Top Word Pairs in Tweet in G2:
[297] #fintech,#insurtech [263] #insurtech,#finserv [201] #finserv,#marketing [106] biometricupdate,#fintech [87] enricomolinari,#nfts [81] #metaverse,beyond [81] beyond,#cryptoart [81] #cryptoart,#fintech [81] #fintech,applepodcasts [81] applepodcasts,infobeans Top Word Pairs in Tweet in G3:
[176] #insurtech,#fintech [139] #fintech,#finsevr [132] #finsevr,#ai [111] stratorob,#fintech [100] #ai,#edtech [97] #edtech,#govtech [93] #fintech,#insurtech [79] #insurtech,#finserv [76] #govtech,#ehealth [75] #ehealth,#iot Top Word Pairs in Tweet in G4:
[17] 2022,brought [17] brought,surge [17] surge,distributed [17] distributed,denial [17] denial,service [17] service,attacks [17] attacks,well [17] well,dramatic [17] dramatic,rise [17] rise,patriotic Top Word Pairs in Tweet in G5:
[151] ciudades,inteligentes [120] inteligentes,govtech [117] encuentro,ciudades [99] xiv,encuentro [35] princeconsul,reciarg [26] encuentro,govtech [26] govtech,ciudades [22] sector,público [21] reciarg,govtechar [19] podes,seguirlo Top Word Pairs in Tweet in G6:
[37] state,local [36] #gdpr,#healthtech [36] election,officials [36] help,state [36] local,government [35] icymi,cisagov [35] cisagov,toolkit [35] toolkit,offers [35] offers,free [35] free,services Top Word Pairs in Tweet in G7:
[45] smart,cities [35] next,generation [35] digital,age [34] generation,smart [34] cities,built [34] built,reliable [34] reliable,digital [34] age,network [34] network,discover [34] discover,streamline Top Word Pairs in Tweet in G8:
[5] school,district [5] #govcon,#fedit [4] cyber,attack [4] chief,technology [3] fields,such [3] #govcon,#govit [3] earlier,month [3] month,senators [3] senators,introduced [3] introduced,bill Top Word Pairs in Tweet in G9:
[24] #gis,#esri [22] #govtech,#statelocalit [18] #statelocalit,#govit [14] #esri,#arcgis [12] #arcgis,powered [10] #govit,#gmis [9] #apwa,#publicworks [7] modern,connected [6] #esri,#urisa [6] flagler,co Top Word Pairs in Tweet in G10:
[2] women,girls [2] girls,recruited [2] recruited,emergency [2] emergency,management [2] management,program [2] program,fema_deanne [2] fema_deanne,wearefarmers [2] wearefarmers,emcesa [2] rising,flood [2] flood,risk Top Replied-To in Entire Graph:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
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: