The graph represents a network of 3,006 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 Saturday, 16 November 2019 at 05:50 UTC.
The requested start date was Friday, 15 November 2019 at 01:01 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 3-day, 0-hour, 7-minute period from Tuesday, 12 November 2019 at 00:53 UTC to Friday, 15 November 2019 at 01:01 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 : 3006
Unique Edges : 5163
Edges With Duplicates : 3162
Total Edges : 8325
Number of Edge Types : 3
Mentions : 6692
Tweet : 1533
Replies to : 100
Self-Loops : 1533
Reciprocated Vertex Pair Ratio : 0.0411956313470013
Reciprocated Edge Ratio : 0.0791313949208686
Connected Components : 457
Single-Vertex Connected Components : 287
Maximum Vertices in a Connected Component : 2175
Maximum Edges in a Connected Component : 7257
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.395841
Graph Density : 0.000601570015819719
Modularity : 0.522196
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 3,006 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 Saturday, 16 November 2019 at 05:50 UTC.
The requested start date was Friday, 15 November 2019 at 01:01 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 3-day, 0-hour, 7-minute period from Tuesday, 12 November 2019 at 00:53 UTC to Friday, 15 November 2019 at 01:01 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 : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[775] #fintech,#insurtech [393] #insurtech,#fintech [219] gt,gt [162] #banking,#finserv [138] #vc,#fintech [137] #fintech,#banking [132] #selfdrivingcars,#driverlessca [118] #cybersecurity,#insurtech [118] #ai,#ml [105] 106,#startups Top Word Pairs in Tweet in G1:
[467] #fintech,#insurtech [153] #insurtech,#fintech [143] #banking,#finserv [125] #vc,#fintech [123] #fintech,#banking [86] gt,gt [80] #finserv,#cryptocurrency [70] #cryptocurrency,#finance [60] #insurtech,#ai [57] #insurtech,#healthcare Top Word Pairs in Tweet in G2:
[192] #fintech,#insurtech [108] gt,gt [86] #insurtech,#fintech [84] achieve,cyber [84] cyber,resilience [84] resilience,7 [83] 7,steps [81] steps,infographic [79] #cybersecurity,#insurtech [77] #infosec,fisher85m Top Word Pairs in Tweet in G3:
[104] #insurtech,#fintech [87] guidewire,#hiring [71] #fintech,#tweetmyjobs [52] #tweetmyjobs,#jobopening [39] #jobopening,#jobs [26] #insurtech,#insurance [26] ishnae,guidewire [24] #hiring,senior [23] bristowcolin,insurtechforum [22] #fintech,#insurtech Top Word Pairs in Tweet in G4:
[17] uk,insurtech [14] insurance,license [13] first,uk [13] #fintech,#insurtech [12] insurance,licence [12] snap,insurance [12] insurance,market [12] market,disruptor [12] disruptor,awesome [12] awesome,innovation Top Word Pairs in Tweet in G5:
[25] digital,#insurance [23] #insurance,companies [22] digitalscoutings,top [22] companies,ranking [22] ranking,congrats [20] #fintech,#insurtech [13] #insurtech,#fintech [12] top,100 [12] 100,digital [10] analytics,drives Top Word Pairs in Tweet in G6:
[115] #selfdrivingcars,#driverlessca [73] soon,until [73] until,self [73] self,driving [73] driving,cars [73] cars,businessinsider [73] businessinsider,#selfdrivingcars [70] jeroenbartelse,soon [46] language,car [46] car,speak Top Word Pairs in Tweet in G7:
[10] #insurance,#insurtech [9] #insurtech,#insurance [8] demo,day [8] 100,100 [7] looking,forward [7] lloyds_lab,demo [6] series,b [6] cohort,3 [5] #insurtech,#fintech [5] lucy,femi Top Word Pairs in Tweet in G8:
[17] dxc,insurance [17] insurance,conference [16] 2020,cohort [13] partners,dxc [13] conference,meet [13] meet,solutions [13] solutions,experience [11] dxc,invitational [11] invitational,americas [11] americas,2019 Top Word Pairs in Tweet in G9:
[22] pierretran,#techweeksg [19] avec,les [18] #techweeksg,#assurance [17] moonshotoff,propose [14] propose,une [12] #assurance,marre [12] marre,des [12] des,galères [12] galères,avec [12] les,déclarations Top Word Pairs in Tweet in G10:
[15] #insurance,#insurtech [11] insurance_innov,summit [6] summit,today [6] today,come [5] insurance,innovators [5] innovators,summit [5] heading,insurance_innov [5] ceo,janthanak [5] insurance_innov,today [5] find,out Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G10:
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 G3:
Top Tweeters in G4:
Top Tweeters in G5:
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Top Tweeters in G10: