The graph represents a network of 1,789 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, 23 December 2022 at 13:39 UTC.
The requested start date was Friday, 23 December 2022 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 5-day, 17-hour, 0-minute period from Saturday, 17 December 2022 at 08:00 UTC to Friday, 23 December 2022 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 : 1789
Unique Edges : 2075
Edges With Duplicates : 12857
Total Edges : 14932
Number of Edge Types : 5
Mentions : 4388
Retweet : 4760
MentionsInRetweet : 4605
Tweet : 1113
Replies to : 66
Self-Loops : 2537
Reciprocated Vertex Pair Ratio : 0.0518962075848303
Reciprocated Edge Ratio : 0.0986717267552182
Connected Components : 196
Single-Vertex Connected Components : 125
Maximum Vertices in a Connected Component : 1458
Maximum Edges in a Connected Component : 14499
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.383345
Graph Density : 0.00115326948303265
Modularity : 0.184715
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 1,789 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, 23 December 2022 at 13:39 UTC.
The requested start date was Friday, 23 December 2022 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 5-day, 17-hour, 0-minute period from Saturday, 17 December 2022 at 08:00 UTC to Friday, 23 December 2022 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:
[3133] #healthtech,#smartcity [3130] #datascientist,#csuite [3127] #csuite,#digitalhealth [3126] #smartcity,#datascientist [3122] #digitalhealth,#web3 [3109] #web3,#cx [3093] #cx,#ehealth [3090] #ehealth,#finserv [2943] #finserv,#cloud [1824] chidambara09,#healthtech Top Word Pairs in Tweet in G1:
[2774] #datascientist,#csuite [2774] #healthtech,#smartcity [2773] #csuite,#digitalhealth [2770] #smartcity,#datascientist [2769] #digitalhealth,#web3 [2761] #web3,#cx [2745] #cx,#ehealth [2744] #ehealth,#finserv [2597] #finserv,#cloud [1479] chidambara09,#healthtech Top Word Pairs in Tweet in G2:
[337] #healthtech,#smartcity [334] #smartcity,#datascientist [334] #datascientist,#csuite [332] #csuite,#digitalhealth [331] #digitalhealth,#web3 [326] #cx,#ehealth [326] #web3,#cx [325] #ehealth,#finserv [325] chidambara09,#healthtech [325] #finserv,#cloud Top Word Pairs in Tweet in G3:
[103] #insurtech,#datascience [97] #ml,#dl [97] #datascience,#ml [90] mikequindazzi,#insurtech [28] cc,mikequindazzi [21] #tech,giant [21] news,#insurtech [21] opening,internal [21] #insurtech,week [21] week,sponsored Top Word Pairs in Tweet in G4:
[625] #iot,#iiot [605] #javascript,#reactjs [599] #iiot,#pytorch [588] #python,#iot [472] #pytorch,#ad [467] #ad,#javascript [386] #reactjs,#wordpress [324] #100daysofcode,#cybersecurity [321] #cybersecurity,#python [256] #wordpress,#security Top Word Pairs in Tweet in G5:
[36] saas,insurtech [36] virtual,sales [36] insurtech,hcm [36] sales,saas [20] iot,platform [15] manager,partner [15] success,virtual [15] account,manager [15] partner,success [10] consumer,iot Top Word Pairs in Tweet in G6:
[18] 100,best [18] places,visit [18] best,places [18] visit,usa [16] #fintech,#insurtech [9] leaders,2022 [9] ranking,top [9] insurtech,leaders [9] reconocida,ranking [9] #ui,#insurtech Top Word Pairs in Tweet in G7:
[10] top,10 [8] insurtech,unicorns [8] 10,insurtech [6] pet,#insurtech [6] mazarsenfrance,pet [6] stratégique,mazarsenfrance [6] #panda,accélère [6] par,l'intermédiaire [6] d'un,partenariat [6] l'#ia,par Top Word Pairs in Tweet in G8:
[5] #fintech,#insurtech [4] #marketing,#fintech [3] singlife,aviva [3] aviva,pick [3] insurtech,industry [3] study,european [3] enricomolinari,exopulse [3] electrically,stimulating [3] increased,20 [3] mollii,suit Top Word Pairs in Tweet in G9:
[34] #bigdata,#datascience [34] #ml,#bigdata [21] #python,#fintech [20] #datascience,#dl [20] #cryptocurrencies,#machinelearning [18] #machinelearning,#ai [16] nobody,understands [16] bernardmarr,forbes [16] understands,bernardmarr [16] #metaverse,isn Top Word Pairs in Tweet in G10:
[241] #cryptocurrencies,#machinelearning [219] #machinelearning,#ai [183] #ai,#python [144] #python,#deeplearning [117] #deeplearning,#100daysofcode [111] #100daysofcode,#fintech [111] #bitcoin,#cybersecurity [111] #cybersecurity,#cybersecurite [111] #fintech,#nocode [111] #nocode,#bitcoin 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 G7:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G7:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G5:
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Top Tweeters in G10: