The graph represents a network of 2,015 Twitter users whose recent tweets contained "InsurTech", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 2/2/2023 5:00:34 PM. The network was obtained from Twitter on Friday, 03 February 2023 at 13:27 UTC.
The tweets in the network were tweeted over the 1983-day, 11-hour, 0-minute period from Tuesday, 29 August 2017 at 13:44 UTC to Friday, 03 February 2023 at 00:45 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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 : 2015
Unique Edges : 2282
Edges With Duplicates : 9423
Total Edges : 11705
Number of Edge Types : 9
Retweet : 2604
MentionsInRetweet : 3745
Tweet : 1349
Mentions : 3397
Replies to : 115
MentionsInReplyTo : 366
Quote : 28
MentionsInQuote : 100
MentionsInQuoteReply : 1
Self-Loops : 2780
Reciprocated Vertex Pair Ratio : 0.0620525059665871
Reciprocated Edge Ratio : 0.11685393258427
Connected Components : 353
Single-Vertex Connected Components : 255
Maximum Vertices in a Connected Component : 1414
Maximum Edges in a Connected Component : 10856
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 3.833293
Graph Density : 0.00087723405146604
Modularity : 0.240917
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 2,015 Twitter users whose recent tweets contained "InsurTech", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 2/2/2023 5:00:34 PM. The network was obtained from Twitter on Friday, 03 February 2023 at 13:27 UTC.
The tweets in the network were tweeted over the 1983-day, 11-hour, 0-minute period from Tuesday, 29 August 2017 at 13:44 UTC to Friday, 03 February 2023 at 00:45 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
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:
[1042] #healthtech,#smartcity [1042] #datascientist,#csuite [1041] #csuite,#digitalhealth [1041] #digitalhealth,#web3 [1040] #web3,#cx [1040] #cx,#ehealth [1016] #smartcity,#5g [1016] #5g,#datascientist [987] #vive2023,#healthtech [612] chidambara09,#vive2023 Top Word Pairs in Tweet in G1:
[829] #healthtech,#smartcity [829] #datascientist,#csuite [828] #csuite,#digitalhealth [828] #digitalhealth,#web3 [827] #cx,#ehealth [827] #web3,#cx [813] #smartcity,#5g [813] #5g,#datascientist [794] #vive2023,#healthtech [419] chidambara09,#vive2023 Top Word Pairs in Tweet in G2:
[224] #insurtech,#fintech [105] #fintech,#insurtech [103] #insurtech,#finance [96] #finance,#finsevr [83] #insurtech,#insurance [77] #finsevr,#ai [76] #ai,#edtech [70] #web3,#cx [70] #edtech,#govtech [70] #healthtech,#smartcity Top Word Pairs in Tweet in G3:
[16] zurich,insurance [15] insurtech,hcm [15] manager,partner [15] learn,more [15] sales,saas [15] account,manager [15] success,virtual [15] partner,success [15] saas,insurtech [15] virtual,sales Top Word Pairs in Tweet in G4:
[124] #datascientist,#csuite [124] #web3,#cx [124] #healthtech,#smartcity [124] #csuite,#digitalhealth [124] #digitalhealth,#web3 [124] #cx,#ehealth [122] #smartcity,#5g [122] #5g,#datascientist [121] chidambara09,#vive2023 [121] #vive2023,#healthtech Top Word Pairs in Tweet in G5:
[54] #insurance,#insurtech [25] contini,marco [25] latest,contini [25] #insurtech,#insurance [17] insurance,news [13] marco,insurance [12] #datascientist,#csuite [12] day,day [12] #web3,#cx [12] #healthtech,#smartcity Top Word Pairs in Tweet in G6:
[47] #fintech,#insurtech [16] #insurtech,#vc [9] #insurtech,#insurance [9] #healthcare,#fintech [8] #artificialintelligence,#machinelearning [6] soeben,publiziert [6] #ai,#hypecycle [6] news,soeben [6] #ai,#artificialintelligence [6] #hypecycle,#fintech Top Word Pairs in Tweet in G7:
[6] co,fondatrice [6] agent,effectiveness [6] partnership,zelros [6] couallier,c_couallier [6] ai,order [6] member,maif [6] french,icmif [6] effectiveness,drive [6] improve,agent [6] l'interview,charlotte Top Word Pairs in Tweet in G8:
[120] #machinelearning,#ai [119] #cryptocurrencies,#machinelearning [96] #ai,#python [92] #python,#deeplearning [84] #deeplearning,#100daysofcode [84] #100daysofcode,#fintech [82] #nocode,#bitcoin [82] #bitcoin,#cybersecurity [82] #fintech,#nocode [81] #cybersecurite,#insurtech Top Word Pairs in Tweet in G10:
[79] #insurtech,#datascience [75] #datascience,#ml [73] #ml,#dl [70] mikequindazzi,#insurtech [22] cc,mikequindazzi [15] artificial,intelligence [9] antgrasso,mikequindazzi [7] terrifying,results [7] fate,humanity [7] transforming,content Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G9:
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: