The graph represents a network of 2,236 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, 10 June 2022 at 12:31 UTC.
The requested start date was Friday, 10 June 2022 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 2-day, 20-hour, 39-minute period from Tuesday, 07 June 2022 at 03:20 UTC to Friday, 10 June 2022 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 : 2236
Unique Edges : 3179
Edges With Duplicates : 15694
Total Edges : 18873
Number of Edge Types : 5
Tweet : 990
Retweet : 5803
MentionsInRetweet : 8987
Mentions : 2974
Replies to : 119
Self-Loops : 1280
Reciprocated Vertex Pair Ratio : 0.0639674616380107
Reciprocated Edge Ratio : 0.120243266724587
Connected Components : 304
Single-Vertex Connected Components : 207
Maximum Vertices in a Connected Component : 1721
Maximum Edges in a Connected Component : 18144
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.272267
Graph Density : 0.00115158500518263
Modularity : 0.232276
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 2,236 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, 10 June 2022 at 12:31 UTC.
The requested start date was Friday, 10 June 2022 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 2-day, 20-hour, 39-minute period from Tuesday, 07 June 2022 at 03:20 UTC to Friday, 10 June 2022 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:
[2015] #iot,#iiot [1938] #javascript,#reactjs [1741] #reactjs,#wordpress [1538] #wordpress,#security [1485] #iiot,#pytorch [1378] #python,#iot [1350] #security,#defi [1034] #pytorch,#javascript [920] #ai,#iot [847] #python,#ai Top Word Pairs in Tweet in G1:
[626] #datascientist,#mwc22 [626] #cx,#women [625] #des2022,#digitalhealth [625] #digitalhealth,#cx [623] #women,#ehealth [619] #mwc22,#ai [618] #ai,#des2022 [601] #healthtech,#datascientist [595] #ehealth,#ces2023 [380] chidambara09,#healthtech Top Word Pairs in Tweet in G2:
[193] #fintech,#finserv [117] enricomolinari,#marketing [117] #marketing,#fintech [98] #finserv,#bnpl [70] #finserv,#insurtech [69] #tech,#innovation [63] #bnpl,#insurtech [59] #business,#tech [53] enricomolinari,#fintech [48] #insurtech,#marketing Top Word Pairs in Tweet in G3:
[2001] #iot,#iiot [1912] #javascript,#reactjs [1722] #reactjs,#wordpress [1523] #wordpress,#security [1472] #iiot,#pytorch [1359] #python,#iot [1337] #security,#defi [1026] #pytorch,#javascript [893] #ai,#iot [845] #python,#ai Top Word Pairs in Tweet in G4:
[30] insurtech,market [29] 147m,05b [29] 05b,valuation [28] snags,147m [28] valuation,showing [28] showing,thorny [28] thorny,insurtech [28] market,impervious [28] impervious,growth [27] branch,snags Top Word Pairs in Tweet in G5:
[41] #insurtech,#fintech [38] #fintech,#insurtech [18] #fintech,#insurance [14] #fintech,#finserv [14] #fintech,#paytech [13] #insurance,#insurtech [13] #paytech,#ffnews [12] insurtech,insights [12] insights,usa [9] subscribe,read Top Word Pairs in Tweet in G6:
[25] 147m,series [22] 05b,valuation [18] 147m,05b [17] snags,147m [17] valuation,showing [17] showing,thorny [15] led,weatherfordcap [14] branchinsurance,thrilled [14] thrilled,announce [14] announce,147m Top Word Pairs in Tweet in G7:
[11] l',#assurance [7] #innovation,#insurtech [6] #digital,#insurtech [6] nice,deer [5] praeconis_fr,s'allie [5] s'allie,plateforme [5] plateforme,urgences_chrono [5] urgences_chrono,leur [5] leur,désengorger [5] désengorger,services Top Word Pairs in Tweet in G8:
[4] check,discussion [4] discussion,adam_kiefer [4] adam_kiefer,tweetpcp [4] tweetpcp,michael [4] michael,lebor [4] lebor,talking [4] talking,talage [3] dan,roberts [3] roberts,nayms_io [3] nayms_io,ceo Top Word Pairs in Tweet in G9:
[14] read,full [14] full,story [11] free,#insurtech [11] story,#fintech [9] #insurtech,#webinar [9] #webinar,info [9] info,#insurance [9] denisegarth,majesco_inc [9] #fintech,#insurtech [8] #insurance,#propertycasualty Top Word Pairs in Tweet in G10:
[13] #bankingcheck,#ekomi [13] #ekomi,#award [10] #award,#bankingcheckaward [9] #bankingcheckaward,#ekomiaward [6] #ekomiaward,#gewinner [5] #gewinner,#berlin [5] #berlin,#finanzen [4] #finanzen,#fintech [4] #fintech,#insurtech [4] #insurtech,#versicherung Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: