The graph represents a network of 2,343 Twitter users whose tweets in the requested range contained "InsurTech", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 19 November 2021 at 13:16 UTC.
The requested start date was Friday, 19 November 2021 at 01:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 2-day, 8-hour, 52-minute period from Tuesday, 16 November 2021 at 16:07 UTC to Friday, 19 November 2021 at 01:00 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 : 2343
Unique Edges : 4318
Edges With Duplicates : 17568
Total Edges : 21886
Number of Edge Types : 5
Retweet : 6253
MentionsInRetweet : 10716
Mentions : 4158
Tweet : 723
Replies to : 36
Self-Loops : 1004
Reciprocated Vertex Pair Ratio : 0.0461185906617015
Reciprocated Edge Ratio : 0.088170865279299
Connected Components : 200
Single-Vertex Connected Components : 127
Maximum Vertices in a Connected Component : 1972
Maximum Edges in a Connected Component : 21307
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.094225
Graph Density : 0.00133107211444013
Modularity : 0.215327
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 2,343 Twitter users whose tweets in the requested range contained "InsurTech", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 19 November 2021 at 13:16 UTC.
The requested start date was Friday, 19 November 2021 at 01:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 2-day, 8-hour, 52-minute period from Tuesday, 16 November 2021 at 16:07 UTC to Friday, 19 November 2021 at 01:00 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 : InsurTech
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:
[1484] #ehealth,#datascience [1482] #fintech,#insurtech [1445] #datascience,#finserv [1075] #finserv,#bigdata [1069] #usa,#tech [990] #digital,#usa [910] #cloud,#ehealth [891] #tech,#cloud [853] #robotics,#aiethics [803] #bigdata,#100daysofcode Top Word Pairs in Tweet in G1:
[377] #fintech,#insurtech [164] #ehealth,#datascience [156] #datascience,#finserv [110] #usa,#tech [99] #digital,#usa [99] #finserv,#bigdata [94] #tech,#cloud [91] #cloud,#ehealth [90] chidambara09,#digital [69] #bigdata,#100daysofcode Top Word Pairs in Tweet in G2:
[1281] #ehealth,#datascience [1250] #datascience,#finserv [943] #finserv,#bigdata [924] #usa,#tech [858] #digital,#usa [788] #cloud,#ehealth [766] #tech,#cloud [747] #robotics,#aiethics [743] #fintech,#insurtech [710] #bigdata,#100daysofcode Top Word Pairs in Tweet in G3:
[92] #fintech,#insurtech [41] #robotics,#aiethics [33] #aiethics,#machinelearning [30] #insurtech,#fintech [28] #machinelearning,#ai [20] #insurance,#insurtech [20] #insurtech,#finserv [20] #ai,#python [19] artificial,intelligence [17] #cybersecurity,#ai Top Word Pairs in Tweet in G4:
[146] #fintech,#insurtech [134] #insurtech,#finserv [132] #finserv,#marketing [88] #marketing,#100daysofcode [67] #100daysofcode,#devops [67] #coding,#python [58] #rstats,#javascript [57] #javascript,#tensorflow [56] #datascientist,#rstats [53] #devops,#datascientist Top Word Pairs in Tweet in G5:
[50] #fintech,#insurtech [21] #innovation,#insurtech [20] #ehealth,#datascience [20] #datascience,#finserv [19] #usa,#tech [18] #finserv,#bigdata [18] #digital,#usa [18] #insurance,#innovation [15] #tech,#cloud [15] #cloud,#ehealth Top Word Pairs in Tweet in G6:
[7] cqcs,insurtech [6] insurtech,innovation [6] fintech,insurtech [5] insurtech,italia [5] italia,investimenti [5] investimenti,salgono [5] salgono,80 [5] 80,mln [5] mln,trimestre [4] #fintech,#insurtech Top Word Pairs in Tweet in G7:
[16] #insurtech,année [15] #assurance,#innovation [14] très,fiers [14] fiers,avoir [14] avoir,été [14] été,élus [14] année,par [14] par,financeinnov [13] #insurday,#assurance [12] prix,l'#insurtech Top Word Pairs in Tweet in G8:
[44] #fintech,#insurtech [33] #infographic,#ai [33] #ai,#bank [33] #bank,#future [33] #future,ingliguori [33] ingliguori,#fintech [33] #insurtech,#fintechs [33] #fintechs,#banking [30] #banking,#bigdata [25] #ai,bank Top Word Pairs in Tweet in G9:
[70] #defi,#insurtech [69] #insurtech,platform [69] platform,ensuroproject [47] seamless,access [47] access,external [47] external,data [47] data,drives [47] drives,smart [47] smart,contract [47] contract,innovation Top Word Pairs in Tweet in G10:
[10] insurtech,community [10] community,hub [9] inauguración,sede [7] insurtechcomhub,inaugura [7] sede,física [7] física,pleno [7] pleno,corazón [6] #insurtech,consiguiendo [6] consiguiendo,hitos [6] hitos,históricos Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G4:
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Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G6:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
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Top Tweeters in G9:
Top Tweeters in G10: