The graph represents a network of 2,847 Twitter users whose recent tweets contained "#insurtech", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Thursday, 25 November 2021 at 20:49 UTC.
The tweets in the network were tweeted over the 6-day, 4-hour, 52-minute period from Friday, 19 November 2021 at 13:20 UTC to Thursday, 25 November 2021 at 18:12 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 : 2847
Unique Edges : 14068
Edges With Duplicates : 45504
Total Edges : 59572
Number of Edge Types : 5
Retweet : 15153
MentionsInRetweet : 35975
Replies to : 243
Mentions : 6645
Tweet : 1556
Self-Loops : 2261
Reciprocated Vertex Pair Ratio : 0.0498160969277369
Reciprocated Edge Ratio : 0.0949044257818538
Connected Components : 111
Single-Vertex Connected Components : 59
Maximum Vertices in a Connected Component : 2621
Maximum Edges in a Connected Component : 59286
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 2.799782
Graph Density : 0.0023954151785571
Modularity : 0.166644
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 2,847 Twitter users whose recent tweets contained "#insurtech", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Thursday, 25 November 2021 at 20:49 UTC.
The tweets in the network were tweeted over the 6-day, 4-hour, 52-minute period from Friday, 19 November 2021 at 13:20 UTC to Thursday, 25 November 2021 at 18:12 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 : TwitterSearch
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 : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[7857] #fintech,#insurtech [4797] #100daysofcode,#javascript [4797] #linux,#insurtech [4774] #bigdata,#100daysofcode [4746] #finserv,#bigdata [4677] #flutter,#linux [4578] #fashiontech,#ehealth [4471] betamoroney,enilev [4366] #datascience,#finserv [4343] enilev,evasmartai Top Word Pairs in Tweet in G1:
[1535] #fintech,#insurtech [1327] #100daysofcode,#javascript [1327] #linux,#insurtech [1323] #bigdata,#100daysofcode [1314] #finserv,#bigdata [1300] #flutter,#linux [1285] #fashiontech,#ehealth [1241] #datascience,#finserv [1233] #ehealth,#datascience [1228] betamoroney,enilev Top Word Pairs in Tweet in G2:
[5745] #fintech,#insurtech [3438] #100daysofcode,#javascript [3438] #linux,#insurtech [3417] #bigdata,#100daysofcode [3400] #finserv,#bigdata [3345] #flutter,#linux [3261] #fashiontech,#ehealth [3218] betamoroney,enilev [3111] enilev,evasmartai [3091] #datascience,#finserv Top Word Pairs in Tweet in G3:
[248] #fintech,#insurtech [176] #insurtech,#fintech [86] #insurtech,#finserv [78] #ai,#iot [74] #finserv,#marketing [57] #iot,#iiot [56] #rstats,#flutter [55] #datascience,#insurtech [53] #ml,#airdrop [53] #airdrop,#python Top Word Pairs in Tweet in G4:
[223] #fintech,#insurtech [183] #robotics,#aiethics [183] #aiethics,#machinelearning [183] #iot,#100daysofcode [182] #datascience,#bigdata [177] #bitcoin,#cybersecurity [173] #cybersecurity,#blockchain [157] #insurtech,#bitcoin [155] need,job [155] job,sign Top Word Pairs in Tweet in G5:
[18] #insurance,#insurtech [12] #insurtech,#finance [12] #finance,#financial [12] #financial,#insuranceindustry [12] #insuranceindustry,#insuranceinnovation [12] #insuranceinnovation,#insurancetechnology [12] #insurancetechnology,#insurancesolutions [11] #insurancesolutions,#leadership [9] #fintech,#insurtech [5] #insurtech,#fintech Top Word Pairs in Tweet in G6:
[7] #startup,#insurtech [6] #fintech,#insurtech [5] nel,terzo [5] terzo,trimestre [5] italiane,sono [4] #insurtech,italiane [4] sono,più [4] italiane,37 [4] ambito,assicurativo [4] f10,singapore Top Word Pairs in Tweet in G7:
[26] #defi,#insurtech [26] blockchain,based [26] flight,insurance [25] ensuroproject,building [25] building,bridge [25] bridge,between [25] between,#defi [25] #insurtech,starting [25] starting,blockchain [25] based,parametric Top Word Pairs in Tweet in G8:
[123] #csr,#corpgov [119] #aml,#crypto [113] #wef,#datagovernance [113] #datagovernance,#futureofwork [112] #esg,#saas [112] #saas,#startup [112] #startup,#salesforce [112] #salesforce,#regulations [108] #fintech,#regtech [106] #startups,#payments Top Word Pairs in Tweet in G9:
[11] venture,inventor [11] inventor,builder [11] focused,creating [11] creating,breakthrough [11] breakthrough,companies [11] companies,redefine [11] redefine,sectors [11] sectors,#insurtech [11] #insurtech,#healthtech [11] #healthtech,#mobility Top Word Pairs in Tweet in G10:
[5] #insurtech,#insurance [3] stoked,tonycanas4 [3] tonycanas4,andrew_correll_ [3] andrew_correll_,insurtechatx [3] insurtechatx,insnerds [3] insnerds,together [3] together,win [3] win,#insurtech [3] #insurance,#sales [3] #sales,#underwriting Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G5:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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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:
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Top Tweeters in G4:
Top Tweeters in G5:
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Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: