The graph represents a network of 3,233 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, 31 July 2020 at 11:57 UTC.
The requested start date was Friday, 31 July 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 6-day, 13-hour, 18-minute period from Friday, 24 July 2020 at 10:39 UTC to Thursday, 30 July 2020 at 23:58 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 : 3233
Unique Edges : 3832
Edges With Duplicates : 7879
Total Edges : 11711
Number of Edge Types : 5
Tweet : 1510
Retweet : 2913
MentionsInRetweet : 5010
Mentions : 2192
Replies to : 86
Self-Loops : 1583
Reciprocated Vertex Pair Ratio : 0.0425841674249318
Reciprocated Edge Ratio : 0.0816896491534299
Connected Components : 638
Single-Vertex Connected Components : 456
Maximum Vertices in a Connected Component : 2120
Maximum Edges in a Connected Component : 9916
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.080198
Graph Density : 0.000548279193833395
Modularity : 0.377245
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 3,233 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, 31 July 2020 at 11:57 UTC.
The requested start date was Friday, 31 July 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 6-day, 13-hour, 18-minute period from Friday, 24 July 2020 at 10:39 UTC to Thursday, 30 July 2020 at 23:58 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:
[843] #fintech,#insurtech [340] #insurtech,#fintech [180] startups,undervalued [177] insurtech,startups [152] read,more [139] #insurtech,#bigdata [134] #insurance,#insurtech [122] egg,shaped [122] shaped,smart [122] smart,self Top Word Pairs in Tweet in G1:
[295] #fintech,#insurtech [128] #insurtech,#fintech [78] #insurtech,#regtech [67] #fintech,startups [64] q2,2020 [63] #insurtech,#startups [56] startups,revamping [54] first,wave [54] wave,unbundling [54] unbundling,services Top Word Pairs in Tweet in G2:
[118] insurtech,startups [113] startups,undervalued [28] #insurance,#insurtech [20] covid,19 [15] undervalued,techcrunch [15] insurtech,investment [13] global,insurtech [12] insurance,industry [10] fintech,magazine [10] #bigdata,#fitness Top Word Pairs in Tweet in G3:
[404] #fintech,#insurtech [137] read,more [136] #insurtech,#fintech [93] more,#accidents [88] #insurtech,#bigdata [79] #ai,#machinelearning [77] #accidents,#claims [75] role,#ai [72] #claims,#disastermitigation [66] #machinelearning,#fintech Top Word Pairs in Tweet in G4:
[101] egg,shaped [101] shaped,smart [101] smart,self [101] self,sustainable [101] sustainable,luxury [101] luxury,micro [101] micro,home [101] home,myshify [101] myshify,#iot [101] #iot,#smarthome Top Word Pairs in Tweet in G5:
[11] #insurtech,#insurance [9] #insurtech,#fintech [9] covid,19 [8] more,info [8] info,#pandc [7] insurance,service [7] free,#insurtech [7] #insurtech,#webinar [7] #pandc,#underwriting [6] #webinar,more Top Word Pairs in Tweet in G6:
[26] startups,undervalued [26] begins,#insurtech [26] #insurtech,#amazon [26] #amazon,#fintech [26] #fintech,amazon [26] amazon,sells [26] sells,auto [26] auto,insurance [26] insurance,india [25] insurtech,startups Top Word Pairs in Tweet in G7:
[26] #insurtech,#datascience [25] #fintech,#insurtech [20] #datascience,#ml [20] #ml,#dl [18] #fintech,#iot [16] #insurtech,#fintech [16] mikequindazzi,#insurtech [14] fintech,world [14] world,forum [14] forum,2020 Top Word Pairs in Tweet in G8:
[11] #insurtech,#insurance [10] #insurance,#insurtech [7] government,pushing [7] pushing,full [7] full,cost [7] cost,building [7] building,safety [7] safety,works [7] works,leaseholders [7] leaseholders,further Top Word Pairs in Tweet in G9:
[9] únete,#insurtechcommunityhub [9] #insurtechcommunityhub,ecosistema [9] ecosistema,transformación [9] transformación,digital [9] digital,sector [9] sector,asegurador [6] communityofinsurance,presente [6] presente,solutions [6] solutions,edición [6] edición,digital Top Word Pairs in Tweet in G10:
[21] #fintech,#insurtech [8] applications,class [8] class,13 [8] 13,cohort [8] cohort,close [8] close,end [8] end,week [8] week,know [8] know,#fintech [8] #insurtech,founder 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 G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: