The graph represents a network of 1,552 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, 24 December 2021 at 13:11 UTC.
The requested start date was Friday, 24 December 2021 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 6-day, 7-hour, 49-minute period from Friday, 17 December 2021 at 17:10 UTC to Friday, 24 December 2021 at 01:00 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 : 1552
Unique Edges : 2520
Edges With Duplicates : 19381
Total Edges : 21901
Number of Edge Types : 5
Retweet : 6542
MentionsInRetweet : 11261
Mentions : 3459
Tweet : 562
Replies to : 77
Self-Loops : 827
Reciprocated Vertex Pair Ratio : 0.0429447852760736
Reciprocated Edge Ratio : 0.0823529411764706
Connected Components : 137
Single-Vertex Connected Components : 80
Maximum Vertices in a Connected Component : 1286
Maximum Edges in a Connected Component : 21534
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.278542
Graph Density : 0.00204806343762255
Modularity : 0.167217
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 1,552 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, 24 December 2021 at 13:11 UTC.
The requested start date was Friday, 24 December 2021 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 6-day, 7-hour, 49-minute period from Friday, 17 December 2021 at 17:10 UTC to Friday, 24 December 2021 at 01:00 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:
[1793] #digital,#cx [1758] #datascientist,#digital [1442] #fashiontech,#ehealth [1393] #frenchtech,#women [1281] #women,#fashiontech [1267] #cx,#iot [1267] #iot,#frenchtech [1239] chidambara09,#datascientist [1188] #fintech,#insurtech [1160] #ehealth,#insurtech Top Word Pairs in Tweet in G1:
[146] #fintech,#insurtech [137] #insurtech,#fintech [102] #datascientist,#digital [102] #digital,#cx [90] chidambara09,#datascientist [72] #insurance,#insurtech [72] #frenchtech,#women [67] #fashiontech,#ehealth [66] #cx,#iot [66] #iot,#frenchtech Top Word Pairs in Tweet in G2:
[1666] #digital,#cx [1631] #datascientist,#digital [1352] #fashiontech,#ehealth [1296] #frenchtech,#women [1195] #women,#fashiontech [1178] #cx,#iot [1178] #iot,#frenchtech [1129] chidambara09,#datascientist [1081] #ehealth,#insurtech [995] #fintech,#insurtech Top Word Pairs in Tweet in G3:
[112] #finserv,#marketing [102] #insurtech,#finserv [102] #fintech,#esg [94] #ces2022,#ces [89] #esg,#sdgs [88] #ces,#fintech [78] #sdgs,#insurtech [66] #marketing,#neobanks [63] #payments,#100daysofcode [61] #flutter,#python Top Word Pairs in Tweet in G4:
[7] #insurance,#insurtech [5] insurtech,market [4] united,states [4] states,insurtech [4] market,research [4] research,report [4] report,2021 [4] 2021,focus [4] focus,blockchain [4] blockchain,cloud Top Word Pairs in Tweet in G5:
[6] muchas,gracias [6] gracias,levante_emv [6] levante_emv,darme [6] darme,oportunidad [6] oportunidad,publicar [6] publicar,opinión [6] opinión,seguros [6] seguros,vida [6] vida,además [5] david_fdz86,muchas Top Word Pairs in Tweet in G6:
[72] #robotics,#aiethics [71] #aiethics,#machinelearning [64] #machinelearning,#ai [61] job,sign [61] sign,free [53] jobpreference,need [53] need,job [53] middlemen,#robotics [35] free,charge [29] #ai,#python Top Word Pairs in Tweet in G7:
[6] many,thanks [6] thanks,bitmartexchange [6] bitmartexchange,team [6] team,help [6] help,getting [6] getting,far [6] far,dbd [6] dbd,tokens [6] tokens,power [6] power,#insurancedao Top Word Pairs in Tweet in G8:
[23] gt,gt [19] digital,eye [19] know,read [19] read,gt [19] gt,danfiehn [19] danfiehn,fgraillot [19] fgraillot,ynjames6396 [16] eye,quantum [16] quantum,computing [16] computing,need Top Word Pairs in Tweet in G9:
[4] #insurtech,deadhappy [4] deadhappy,smashed [4] smashed,#crowdfunding [4] #crowdfunding,target [4] target,seedrs [4] seedrs,'deathwishes' [4] 'deathwishes',platform [4] platform,raises [4] raises,4m [3] great,positions Top Word Pairs in Tweet in G10:
[8] insuraguest,building [8] building,largest [8] platform,hospitality [8] hospitality,sector [6] insurtech,future [6] future,insuraguest [6] largest,insurtech [6] insurtech,platform [5] insuraguest,insurtech [2] insurance,insurtech Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G6:
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:
Top Tweeters in G4:
Top Tweeters in G5:
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Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: