The graph represents a network of 1,980 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, 08 July 2022 at 12:42 UTC.
The requested start date was Friday, 08 July 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, 14-hour, 33-minute period from Tuesday, 05 July 2022 at 09:18 UTC to Thursday, 07 July 2022 at 23:51 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 : 1980
Unique Edges : 3433
Edges With Duplicates : 16379
Total Edges : 19812
Number of Edge Types : 5
Replies to : 127
Tweet : 660
Retweet : 6241
MentionsInRetweet : 9820
Mentions : 2964
Self-Loops : 917
Reciprocated Vertex Pair Ratio : 0.0430203498750446
Reciprocated Edge Ratio : 0.0824918706144104
Connected Components : 201
Single-Vertex Connected Components : 148
Maximum Vertices in a Connected Component : 1664
Maximum Edges in a Connected Component : 19389
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 3.161024
Graph Density : 0.00149116225417388
Modularity : 0.211878
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 1,980 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, 08 July 2022 at 12:42 UTC.
The requested start date was Friday, 08 July 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, 14-hour, 33-minute period from Tuesday, 05 July 2022 at 09:18 UTC to Thursday, 07 July 2022 at 23:51 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:
[3149] #iot,#iiot [3049] #javascript,#reactjs [2679] #reactjs,#wordpress [2398] #wordpress,#security [2336] #python,#iot [2294] #security,#defi [2280] #iiot,#pytorch [1546] #pytorch,#javascript [1095] #ai,#iot [870] #python,#ai Top Word Pairs in Tweet in G1:
[659] #iot,#iiot [566] #cx,#women [565] #datascientist,#mwc22 [564] #digitalhealth,#cx [557] #women,#ehealth [553] #healthtech,#datascientist [549] #ehealth,#finserv [544] #mwc22,#digital [543] #finserv,#bigdata [540] #digital,#digitalhealth Top Word Pairs in Tweet in G2:
[129] #fintech,#insurtech [109] #fintech,#finserv [72] #finserv,#marketing [64] #python,#iot [63] #tech,#innovation [63] #iot,#iiot [61] #iiot,#pytorch [60] #javascript,#reactjs [60] #marketing,#insurtech [57] #bigdata,#analytics Top Word Pairs in Tweet in G3:
[2459] #javascript,#reactjs [2416] #iot,#iiot [2137] #reactjs,#wordpress [1936] #wordpress,#security [1855] #security,#defi [1829] #python,#iot [1791] #iiot,#pytorch [1303] #pytorch,#javascript [804] #ai,#iot [783] #python,#ai Top Word Pairs in Tweet in G4:
[20] insurtech,startup [16] account,manager [16] manager,partner [16] partner,success [16] success,virtual [16] virtual,sales [16] sales,saas [16] saas,insurtech [16] insurtech,hcm [15] insurtech,rey Top Word Pairs in Tweet in G5:
[8] french,insurtech [8] life,insurance [7] insurtech,startup [7] london,based [6] professional,insurance [6] insurtech,company [5] 120,million [5] million,reinvent [5] reinvent,professional [4] series,funding Top Word Pairs in Tweet in G6:
[34] hassle,free [34] free,renewal [34] renewal,less [34] less,porting [34] porting,more [34] more,customer [34] customer,retention [34] retention,#insurancewallet [34] #insurancewallet,#ubiqc [34] #ubiqc,#insurtech Top Word Pairs in Tweet in G7:
[6] life,insurance [6] free,#insurtech [6] #insurtech,#webinar [6] #webinar,info [6] info,#insurance [6] carroll_melis,majesco_inc [5] #insurtech,#sviaevents [4] rd,forbes [4] insurance,leaders [4] join,#insurance Top Word Pairs in Tweet in G8:
[6] #infographic,dawn [6] dawn,#fintech [6] #fintech,world [6] world,earth [6] earth,globe [6] globaliqx,adding [6] adding,common [6] common,sense [6] sense,#ai [6] #ai,#finance Top Word Pairs in Tweet in G9:
[2] #bionics,combining [2] combining,human [2] human,machine [2] machine,capabilities [2] capabilities,led [2] led,aflac [2] aflac,ways [2] ways,thinking [2] thinking,data [2] data,analytics Top Word Pairs in Tweet in G10:
[6] asocfintechins,#insurtech [5] #insurtech,consolidan [5] consolidan,mercado [5] mercado,asegurador [5] asegurador,nuevos [5] nuevos,enfoques [5] enfoques,soluciones [5] soluciones,artículo [5] artículo,recoge [5] international,health 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 G4:
Top Replied-To in G9:
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: