The graph represents a network of 2,778 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 June 2020 at 11:49 UTC.
The requested start date was Friday, 19 June 2020 at 00:01 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 4-day, 5-hour, 37-minute period from Sunday, 14 June 2020 at 18:12 UTC to Thursday, 18 June 2020 at 23:49 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 : 2778
Unique Edges : 3226
Edges With Duplicates : 8287
Total Edges : 11513
Number of Edge Types : 5
Tweet : 1322
MentionsInRetweet : 4840
Mentions : 2214
Replies to : 108
Retweet : 3029
Self-Loops : 1413
Reciprocated Vertex Pair Ratio : 0.0591849272987917
Reciprocated Edge Ratio : 0.111755607115236
Connected Components : 419
Single-Vertex Connected Components : 260
Maximum Vertices in a Connected Component : 1991
Maximum Edges in a Connected Component : 9948
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 4.413881
Graph Density : 0.000670425300077542
Modularity : 0.348174
NodeXL Version : 1.0.1.433
Data Import : The graph represents a network of 2,778 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 June 2020 at 11:49 UTC.
The requested start date was Friday, 19 June 2020 at 00:01 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 4-day, 5-hour, 37-minute period from Sunday, 14 June 2020 at 18:12 UTC to Thursday, 18 June 2020 at 23:49 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 G2:
[404] #fintech,#insurtech [176] #insurtech,#insurance [141] #insurtech,#bigdata [132] #insurtech,#fintech [118] #artificialintelligence,#fintech [118] #insurtech,#finserv [116] #insurtech,#a [116] #ai,#fintech [116] #fintech,sectors [116] sectors,gain Top Word Pairs in Tweet in G3:
[242] #insurance,#insurtech [46] #fintech,#insurtech [39] covid,19 [33] fintech,insurtech [30] insurtech,startup [30] fintech,magazine [24] magazine,fintech [24] four,lemons [24] lemons,sour [24] fintech,world Top Word Pairs in Tweet in G4:
[20] #fintech,#insurtech [17] sectors,gain [16] fintech,sectors [10] covid,19 [10] gain,covid [9] #insurtech,#insurance [9] #insurtech,scene [8] #fintech,#banking [8] #insurtech,#fintech [8] #insurance,#insurtech Top Word Pairs in Tweet in G5:
[56] #insurance,#insurtech [36] #insurance,companies [30] digitalscoutings,top [30] top,100 [26] 100,digital [20] digital,#insurance [18] companies,ranking [17] ranking,congrats [15] #insurtech,#fintech [15] live,petinsurance Top Word Pairs in Tweet in G6:
[21] #insurtech,expert [17] expert,paolomeciani [16] #ehealth,#insurtech [16] #pandorabox,sociological [16] sociological,test [16] test,tube [16] tube,forever [16] forever,contributing [12] contributing,human [9] human,species' Top Word Pairs in Tweet in G7:
[66] únete,#insurtechcommunityhub [60] #insurtechcommunityhub,ecosistema [56] ecosistema,transformación [41] transformación,digital [41] digital,sector [41] sector,asegurador [41] future,insurance [41] #insurance,#innovation [41] check,latest [41] #insurtech,category Top Word Pairs in Tweet in G8:
[12] próximo,jueves [12] jueves,conectaremos [12] conectaremos,sector [12] sector,#insurtech [12] #insurtech,conocer [12] conocer,emprendedores [11] emprendedores,#startups [10] angelninoq,próximo [10] #startups,encuentro [9] encuentro,cl Top Word Pairs in Tweet in G9:
[96] #fintech,#insurtech [95] #khiko,go4iot [95] #insurtech,#fintech [95] ultra,simple [95] #healthcare,#ai [95] #ai,#ml [95] camping,car [92] 106,#startups [92] #startups,transforming [91] transforming,#healthcare Top Word Pairs in Tweet in G10:
[30] starlingbank's,banca [25] banca,strategy [24] strategy,nimbla [20] nimbla,invoice [18] invoice,equipsme [18] equipsme,health [18] health,anorak [17] anorak,life [17] life,sme [17] #fintech,#insurtech Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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