The graph represents a network of 1,936 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 1/12/2023 5:00:35 PM. The network was obtained from Twitter on Friday, 13 January 2023 at 13:27 UTC.
The tweets in the network were tweeted over the 1616-day, 9-hour, 14-minute period from Friday, 10 August 2018 at 15:45 UTC to Friday, 13 January 2023 at 00:59 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 : 1936
Unique Edges : 2111
Edges With Duplicates : 10175
Total Edges : 12286
Number of Edge Types : 9
Retweet : 2928
MentionsInRetweet : 4212
Tweet : 1170
Mentions : 3425
Replies to : 114
MentionsInReplyTo : 280
Quote : 34
MentionsInQuote : 117
MentionsInQuoteReply : 6
Self-Loops : 2735
Reciprocated Vertex Pair Ratio : 0.0582202111613876
Reciprocated Edge Ratio : 0.110034207525656
Connected Components : 299
Single-Vertex Connected Components : 224
Maximum Vertices in a Connected Component : 1411
Maximum Edges in a Connected Component : 11525
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.455748
Graph Density : 0.000936425566446708
Modularity : 0.221991
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 1,936 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 1/12/2023 5:00:35 PM. The network was obtained from Twitter on Friday, 13 January 2023 at 13:27 UTC.
The tweets in the network were tweeted over the 1616-day, 9-hour, 14-minute period from Friday, 10 August 2018 at 15:45 UTC to Friday, 13 January 2023 at 00:59 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:
[1119] #healthtech,#smartcity [1118] #datascientist,#csuite [1116] #digitalhealth,#web3 [1116] #csuite,#digitalhealth [1114] #cx,#ehealth [1114] #web3,#cx [1113] #ehealth,#finserv [879] #smartcity,#5g [878] #5g,#datascientist [645] chidambara09,#healthtech Top Word Pairs in Tweet in G1:
[959] #healthtech,#smartcity [958] #ehealth,#finserv [958] #datascientist,#csuite [957] #csuite,#digitalhealth [957] #digitalhealth,#web3 [956] #cx,#ehealth [956] #web3,#cx [770] #smartcity,#5g [769] #5g,#datascientist [490] chidambara09,#healthtech Top Word Pairs in Tweet in G2:
[232] #cryptocurrencies,#machinelearning [197] #machinelearning,#ai [172] #ai,#python [124] #python,#deeplearning [119] #insurtech,#chatgpt [119] #100daysofcode,#fintech [119] #bitcoin,#cybersecurity [119] #cybersecurity,#cybersecurite [119] #fintech,#nocode [119] #nocode,#bitcoin Top Word Pairs in Tweet in G3:
[48] duck,creek [44] insurtech,startup [41] private,equity [39] firm,buys [39] equity,firm [39] buys,insurtech [38] startup,duck [36] transaction,private [36] cash,transaction [35] creek,6b Top Word Pairs in Tweet in G4:
[187] #insurtech,#fintech [76] #fintech,#insurtech [54] #fintech,_diginsurance [51] #fintech,#insurance [47] _diginsurance,cc [43] #insurtech,#insurance [43] insurtech,startup [42] #datascientist,#csuite [42] #healthtech,#smartcity [42] #insurance,#insurtech Top Word Pairs in Tweet in G5:
[41] #smarthealth,#digitalhealth [36] #smarthealth,#smarthealthcare [28] #digitalhealth,#health [25] #ces2023,#smarthealth [22] #insurance,#insurtech [20] pay,12 [20] interest,free [20] 12,interest [19] #insurtech,#fintech [18] #smarthealth,#digitalhealthcare Top Word Pairs in Tweet in G6:
[18] innovation,dach [18] check,slides [18] 132,#startups [18] dach,region [18] leading,way [18] region,total [18] #startups,check [18] #insurtech,innovation [18] total,132 [18] way,#insurtech Top Word Pairs in Tweet in G7:
[12] insurtech,startup [11] duck,creek [10] 850,business [10] fintech_germany,#podtime [10] global,top [10] top,850 [10] business,podcast [10] top,200 [10] 200,tech [10] tech,top Top Word Pairs in Tweet in G8:
[33] #insurtech,#insurance [30] #insurance,#technology [26] mandalore_minh,seedfounders [19] #insurance,#insurtech [14] contini,marco [14] latest,contini [13] seedfounders,insurtech_cap [13] seedfounders,minh_q_tran [13] #technology,#finance [9] découvrez,l'interview Top Word Pairs in Tweet in G9:
[56] sapiendo,plateforme [56] privé,intérêt [56] sa,retraite [56] privée,conseils [56] tout,groupe [56] préparer,sa [56] groupe,privé [56] plateforme,privée [56] retraite,comme [56] conseils,préparer Top Word Pairs in Tweet in G10:
[14] ft,partners [12] market,update [12] update,analysis [11] million,series [10] ceo,market [10] #fintech,#insurtech [8] series,financing [7] financing,led [7] ftpartners,ft [6] exclusive,interview Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G10:
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:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
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Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: