The graph represents a network of 1,500 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, 25 February 2022 at 13:08 UTC.
The requested start date was Friday, 25 February 2022 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 2-day, 0-hour, 25-minute period from Wednesday, 23 February 2022 at 00:35 UTC to Friday, 25 February 2022 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 : 1500
Unique Edges : 2624
Edges With Duplicates : 16857
Total Edges : 19481
Number of Edge Types : 5
Mentions : 3419
MentionsInRetweet : 9185
Retweet : 6283
Tweet : 493
Replies to : 101
Self-Loops : 1073
Reciprocated Vertex Pair Ratio : 0.0375576036866359
Reciprocated Edge Ratio : 0.0723961803242283
Connected Components : 183
Single-Vertex Connected Components : 114
Maximum Vertices in a Connected Component : 1184
Maximum Edges in a Connected Component : 19065
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.395233
Graph Density : 0.00200266844563042
Modularity : 0.186537
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 1,500 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, 25 February 2022 at 13:08 UTC.
The requested start date was Friday, 25 February 2022 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 2-day, 0-hour, 25-minute period from Wednesday, 23 February 2022 at 00:35 UTC to Friday, 25 February 2022 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 : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[2541] #ehealth,#ces2023 [2418] #datascientist,#cloud [2412] #digital,#mwc22 [2399] #cloud,#digital [2385] #mwc22,#cx [2384] #women,#ehealth [2328] #cx,#women [2284] #iot,#iiot [2148] #finserv,#fashiontech [2035] #ces2023,#finserv Top Word Pairs in Tweet in G1:
[479] #ehealth,#ces2023 [462] #digital,#mwc22 [461] #cloud,#digital [457] #datascientist,#cloud [453] #mwc22,#cx [451] #women,#ehealth [444] #cx,#women [441] chidambara09,#datascientist [394] #ces2023,#finserv [392] #finserv,#fashiontech Top Word Pairs in Tweet in G2:
[2228] #iot,#iiot [1735] #javascript,#reactjs [1538] #reactjs,#wordpress [1468] #iiot,#pytorch [1406] #python,#iot [1355] #wordpress,#security [1209] #pytorch,#javascript [1197] #security,#defi [930] #ai,#iot [889] #defi,#ad Top Word Pairs in Tweet in G3:
[1493] #ehealth,#ces2023 [1410] #datascientist,#cloud [1403] #digital,#mwc22 [1397] #cloud,#digital [1383] #mwc22,#cx [1378] #women,#ehealth [1340] #cx,#women [1329] #finserv,#fashiontech [1210] #ces2023,#finserv [718] chidambara09,#datascientist Top Word Pairs in Tweet in G4:
[11] wharton's,fintech [11] fintech,specialization [11] specialization,wharton [11] wharton,online [11] online,cryptocurrency [11] cryptocurrency,blockchain [11] blockchain,digital [11] digital,currencies [11] currencies,payments [11] payments,crowdfunding Top Word Pairs in Tweet in G5:
[6] #insurtech,#insurance [6] #fintech,#insurtech [6] #innovation,#digital [5] #assurance,#innovation [5] read,full [5] full,story [5] story,#fintech [4] tattia,shai_wininger [4] #insurance,#pandc [4] #machinelearning,#ai Top Word Pairs in Tweet in G6:
[37] marcosacab,cnet [37] cnet,spent [37] spent,time [37] time,ceo [37] ceo,eyhabaejaz [37] eyhabaejaz,discuss [37] discuss,consumers [37] consumers,way [37] way,insure [36] breachinsured,marcosacab Top Word Pairs in Tweet in G7:
[4] #insurtech,italiana [4] italiana,#lokky [4] #lokky,apre [4] apre,#round [4] #round,mln [4] mln,euro [4] euro,chiudere [4] chiudere,entro [4] entro,mesi [3] valentina_magri,#insurtech Top Word Pairs in Tweet in G8:
[4] iti_insurtech,europe [3] london,iti_insurtech [3] europe,join [3] join,anthemis [3] anthemis,15th [3] 15th,march [3] march,ecosystem [3] ecosystem,drinks [3] drinks,event [3] event,including Top Word Pairs in Tweet in G9:
[2] fintech,focus [2] focus,area [2] area,gembacapital [2] gembacapital,done [2] done,great [2] great,thanks [2] thanks,foodierawal [2] foodierawal,leading [2] leading,insurtech Top Word Pairs in Tweet in G10:
[7] hoy,estamos [7] estamos,nagusi [7] nagusi,intelligence [7] intelligence,center [7] center,#nic [7] #nic,bizkaiaemprende [7] bizkaiaemprende,oskarpaz [7] oskarpaz,habla [7] habla,desafíos [7] desafíos,tendencias Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G8:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
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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 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: