The graph represents a network of 2,995 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, 15 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, 8-hour, 50-minute period from Monday, 11 November 2019 at 16:10 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 : 2995
Unique Edges : 5024
Edges With Duplicates : 3136
Total Edges : 8160
Number of Edge Types : 3
Mentions : 6456
Tweet : 1601
Replies to : 103
Self-Loops : 1601
Reciprocated Vertex Pair Ratio : 0.0370517138894393
Reciprocated Edge Ratio : 0.0714558654948414
Connected Components : 493
Single-Vertex Connected Components : 323
Maximum Vertices in a Connected Component : 2127
Maximum Edges in a Connected Component : 7059
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 4.441743
Graph Density : 0.000583693820584965
Modularity : 0.511733
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 2,995 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, 15 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, 8-hour, 50-minute period from Monday, 11 November 2019 at 16:10 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:
[880] #fintech,#insurtech [399] #insurtech,#fintech [242] gt,gt [159] #banking,#finserv [136] #vc,#fintech [135] #fintech,#banking [129] #ai,#ml [125] #ppc,works [125] works,#infographics [123] #infographics,#digital Top Word Pairs in Tweet in G1:
[489] #fintech,#insurtech [146] #insurtech,#fintech [71] #insurtech,#ai [64] gt,gt [63] #insurtech,#healthcare [57] #insurtech,#artificialintelligence [56] #aibest,andi_staub [45] #artificialintelligence,#machinelearning [45] spirosmargaris,#ai [41] ignoring,#women Top Word Pairs in Tweet in G2:
[122] #insurtech,#fintech [93] guidewire,#hiring [76] #fintech,#tweetmyjobs [55] #tweetmyjobs,#jobopening [40] #jobopening,#jobs [28] ishnae,guidewire [27] #hiring,senior [26] #insurtech,#insurance [25] san,mateo [25] mateo,ca Top Word Pairs in Tweet in G3:
[17] uk,insurtech [15] insurance,license [14] first,uk [13] awesome,innovation [12] insurance,licence [12] #fintech,#insurtech [12] #insurance,#insurtech [12] snap,insurance [12] insurance,market [12] market,disruptor Top Word Pairs in Tweet in G4:
[252] #fintech,#insurtech [131] gt,gt [120] #ppc,works [119] works,#infographics [118] #infographics,#digital [118] #digital,#smm [118] #smm,#fintech [117] #insurtech,#marketing [117] #marketing,#digitalmarketing [117] #digitalmarketing,#wordpress Top Word Pairs in Tweet in G5:
[22] dxc,insurance [22] insurance,conference [18] partners,dxc [14] conference,meet [14] meet,solutions [14] solutions,experience [12] experience,lab [11] dxc,invitational [11] invitational,americas [11] americas,2019 Top Word Pairs in Tweet in G6:
[22] #insurance,companies [22] #fintech,#insurtech [21] digitalscoutings,top [21] digital,#insurance [21] companies,ranking [21] ranking,congrats [13] top,100 [13] 100,digital [11] analytics,drives [11] drives,financial Top Word Pairs in Tweet in G7:
[87] #selfdrivingcars,#driverlessca [46] soon,until [46] until,self [46] self,driving [46] driving,cars [45] language,car [45] car,speak [45] speak,5g [45] 5g,wifi [45] wifi,bloombergtv Top Word Pairs in Tweet in G8:
[17] join,nov [15] 20,free [15] free,events [12] #insurtech,#insuretech [12] nyc,talk [10] iunderwriters,join [10] events,fostering [10] 18,21 [9] #fintech,e [9] e,#insurtech Top Word Pairs in Tweet in G9:
[97] #banking,#finserv [88] #vc,#fintech [88] #fintech,#banking [84] fintech,world [84] world,forum [84] london,nov [84] nov,18 [84] 18,19 [83] forum,2019 [61] #finserv,#cryptocurrency Top Word Pairs in Tweet in G10:
[11] #insurance,#insurtech [7] #insurtech,#insurance [6] reinsurance,thanks [6] singapore,fintech [5] friends,income [5] income,pacs [5] pacs,many [5] many,thanks [5] thanks,continued [5] continued,#support Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: