The graph represents a network of 3,922 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, 06 November 2020 at 13:30 UTC.
The requested start date was Friday, 06 November 2020 at 01:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 8-day, 17-hour, 0-minute period from Tuesday, 27 October 2020 at 21:47 UTC to Thursday, 05 November 2020 at 14:48 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 : 3922
Unique Edges : 5209
Edges With Duplicates : 13029
Total Edges : 18238
Number of Edge Types : 5
Tweet : 2028
Retweet : 4231
Mentions : 4611
Replies to : 105
MentionsInRetweet : 7263
Self-Loops : 2164
Reciprocated Vertex Pair Ratio : 0.0569955038349643
Reciprocated Edge Ratio : 0.107844363818341
Connected Components : 665
Single-Vertex Connected Components : 448
Maximum Vertices in a Connected Component : 2794
Maximum Edges in a Connected Component : 16619
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.209148
Graph Density : 0.000519763024996095
Modularity : 0.319345
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 3,922 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, 06 November 2020 at 13:30 UTC.
The requested start date was Friday, 06 November 2020 at 01:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 8-day, 17-hour, 0-minute period from Tuesday, 27 October 2020 at 21:47 UTC to Thursday, 05 November 2020 at 14:48 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:
[1092] #fintech,#insurtech [494] #insurtech,#fintech [380] read,more [329] more,#accidents [316] #accidents,#claims [296] #claims,#disastermitigation [291] #disastermitigation,#insurance [290] #insurance,#insurancetechnology [290] #insurancetechnology,#insurtech [290] #insurtech,#points Top Word Pairs in Tweet in G1:
[632] #fintech,#insurtech [256] #insurtech,#fintech [96] #podcast,' [96] ',spirosmargaris [96] spirosmargaris,firends' [96] firends',continues [96] continues,great [96] great,#insurtech [96] #insurtech,#ceo [93] #ceo,#oliverlang Top Word Pairs in Tweet in G2:
[59] stay,red [58] equity,monday [57] monday,edtech [57] edtech,insurtech [57] insurtech,stay [57] red,hot [34] #insurance,#insurtech [31] #fintech,#insurtech [22] 25,insurtech [20] insurtech,influencers Top Word Pairs in Tweet in G3:
[73] #fintech,#insurtech [65] #insurtech,#fintech [25] #insurance,#insurtech [22] #fintech,#digitaltransformation [18] insurance,industry [16] #ai,#machinelearning [16] tech,trends [16] trends,watch [13] #insurtech,#innovation [13] #insurtech,#digitaltransformation Top Word Pairs in Tweet in G4:
[34] #fintech,#insurtech [31] #insurance,#insurtech [30] #insurtech,#insurance [27] #insurtech,#fintech [25] artificial,intelligence [14] q3,2020 [13] insurance,industry [12] 2020,insurtech [11] #digitaltransformation,#ai [11] insurtech,insights Top Word Pairs in Tweet in G5:
[86] #fintech,#finserv [82] #fintech,#insurtech [65] enricomolinari,#fintech [49] #ai,#iot [47] #insurtech,#proptech [44] visualcap,enricomolinari [41] enricomolinari,#retailtech [41] #finserv,#paytech [40] #insurtech,#fintech [33] nov,18 Top Word Pairs in Tweet in G6:
[55] #fintech,#insurtech [45] great,overview [42] #insurtech,#fintech [41] fgraillot,great [33] financial,services [33] technology,revamp [30] fgraillot,detailed [29] overview,embedded [29] embedded,finance [29] finance,opportunity Top Word Pairs in Tweet in G7:
[26] #insurtech,#insurance [23] #insurtech,#insurtechinsights [20] #insurtechinsights,#insurance [13] #fintech,#insurtech [11] india,insurtech [11] insurtech,report [11] read,crowdsourced [11] crowdsourced,books [11] books,#fintechbook [11] #fintechbook,series Top Word Pairs in Tweet in G8:
[29] #fintech,#insurtech [16] #insurtech,#regtech [14] co,fondateur [14] appel,candidatures [13] 4e,promotion [13] rejoignez,communauté [12] nelbro,interview [11] recrute,sa [11] sa,4e [9] appel,projets Top Word Pairs in Tweet in G9:
[11] #insurtech,#fintech [10] #insurance,#insurtech [10] #insurtech,#insurance [10] dip,token [10] #etherisc,dip [9] commercial,insurance [8] more,info [8] smart,contracts [7] free,#insurtech [7] #insurtech,#webinar Top Word Pairs in Tweet in G10:
[73] ifw,2020 [73] 2020,online [63] online,pass [39] #payments,#blockchain [38] #blockchain,#digitalbanking [38] #digitalbanking,#insurtech [38] #aiinfinance,#ifw2020online [37] #insurtech,#startupday [37] #startupday,#aiinfinance [37] join,11 Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
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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:
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Top Tweeters in G3:
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Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: