The graph represents a network of 3,787 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, 09 October 2020 at 12:08 UTC.
The requested start date was Friday, 09 October 2020 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 7-day, 18-hour, 52-minute period from Thursday, 01 October 2020 at 05:07 UTC to Friday, 09 October 2020 at 00:00 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 : 3787
Unique Edges : 5644
Edges With Duplicates : 13975
Total Edges : 19619
Number of Edge Types : 5
Tweet : 1740
Replies to : 133
Mentions : 4156
Retweet : 4741
MentionsInRetweet : 8849
Self-Loops : 1892
Reciprocated Vertex Pair Ratio : 0.0597223842295579
Reciprocated Edge Ratio : 0.112713263621354
Connected Components : 541
Single-Vertex Connected Components : 355
Maximum Vertices in a Connected Component : 2860
Maximum Edges in a Connected Component : 18171
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.190111
Graph Density : 0.000633649383836131
Modularity : 0.328113
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 3,787 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, 09 October 2020 at 12:08 UTC.
The requested start date was Friday, 09 October 2020 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 7-day, 18-hour, 52-minute period from Thursday, 01 October 2020 at 05:07 UTC to Friday, 09 October 2020 at 00:00 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:
[1478] #fintech,#insurtech [485] #insurtech,#fintech [368] #ai,#machinelearning [217] #insurance,#insurtech [208] #insurtech,#insurance [189] read,more [184] #machinelearning,transforming [184] transforming,#fintech [182] #fintech,preventative [182] preventative,#healthcare Top Word Pairs in Tweet in G1:
[1038] #fintech,#insurtech [346] #insurtech,#fintech [216] #ai,#machinelearning [101] #insurtech,#bigdata [100] #ai,#fintech [96] #machinelearning,#cybersecurity [94] #insurtech,#insurance [87] #fintech,#datascience [80] #insurtech,#ai [79] andi_staub,reread Top Word Pairs in Tweet in G2:
[62] #fintech,#insurtech [58] #insurance,#insurtech [41] fgraillot,great [36] #insurance,industry [31] #insurtech,#fintech [28] october,2020 [27] #insurtech,#insurance [24] #insurtech,#insurtechinsights [23] read,#startup [23] great,report Top Word Pairs in Tweet in G3:
[48] #insurance,#insurtech [35] fintech,insurtech [28] reaches,100m [28] 100m,run [28] run,rate [28] rate,turns [28] turns,profitable [28] profitable,insurtech [27] zebra,reaches [26] insurtech,booms Top Word Pairs in Tweet in G4:
[75] l'année,2020 [51] financeinnov,#insurtechbiz [45] #insurtech,l'année [30] prix,#insurtech [27] #fintech,#insurtech [27] insurtech,l'année [22] finaliste,insurtech [21] bravo,#akur8 [17] #akur8,remporte [17] remporte,prix Top Word Pairs in Tweet in G5:
[107] #fintech,#insurtech [57] #artificialintelligence,#fintech [38] industries,affected [38] affected,#ai [38] #ai,years [38] years,#artificialintelligence [38] #insurtech,#4ir [38] #4ir,#datascience [36] artificial,intelligence [29] #ai,#machinelearning Top Word Pairs in Tweet in G6:
[72] #fintech,#insurtech [32] #insurtech,#fintech [15] article,linkedin [14] needs,wheels [14] wheels,hyundai [14] hyundai,creates [14] creates,division [14] division,develop [14] develop,'transformer [14] 'transformer,class' Top Word Pairs in Tweet in G7:
[47] #fintech,#insurtech [19] insurtech,ehealth [17] insurtech,funding [17] ehealth,spain [16] #insurtech,#insurance [13] #insurtech,track [12] fintech,insurtech [12] 10,insurtech [11] #startups,#growthhacking [11] #growthhacking,#marketing Top Word Pairs in Tweet in G8:
[108] #ai,#machinelearning [108] #machinelearning,transforming [108] transforming,#fintech [108] #fintech,preventative [108] preventative,#healthcare [107] deeplearn007,#ai [107] #healthcare,spirosmargaris [106] spirosmargaris,xbon [33] #fintech,#insurtech [18] #ai,#fintech Top Word Pairs in Tweet in G9:
[10] #fintech,#insurtech [10] crowdsourced,books [9] hitachi,swiss [9] swiss,re [9] re,link [9] link,digital [9] digital,risk [9] risk,coverage [9] coverage,swissre [9] swissre,hitachiglobal Top Word Pairs in Tweet in G10:
[10] #insurance,#insurtech [9] #guidewire,#insurance [6] check,latest [4] latest,smart [4] smart,approach [4] approach,blog [4] #insurance,#innovation [4] few,known [4] known,global [4] global,#ai 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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Top Tweeters in G10: