The graph represents a network of 1,589 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, 07 January 2022 at 13:21 UTC.
The requested start date was Friday, 07 January 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, 16-hour, 17-minute period from Tuesday, 04 January 2022 at 08:43 UTC to Friday, 07 January 2022 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 : 1589
Unique Edges : 2440
Edges With Duplicates : 18064
Total Edges : 20504
Number of Edge Types : 5
MentionsInRetweet : 9625
Mentions : 3679
Retweet : 6454
Tweet : 562
Replies to : 184
Self-Loops : 860
Reciprocated Vertex Pair Ratio : 0.0456780008193363
Reciprocated Edge Ratio : 0.0873653281096964
Connected Components : 99
Single-Vertex Connected Components : 52
Maximum Vertices in a Connected Component : 1402
Maximum Edges in a Connected Component : 20241
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.175974
Graph Density : 0.0020231186383718
Modularity : 0.17087
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 1,589 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, 07 January 2022 at 13:21 UTC.
The requested start date was Friday, 07 January 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, 16-hour, 17-minute period from Tuesday, 04 January 2022 at 08:43 UTC to Friday, 07 January 2022 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:
[2066] #ai,#iot [2025] #python,#ai [2002] #iot,#iiot [1774] #pytorch,#javascript [1707] #javascript,#reactjs [1503] #ai,#finserv [1484] #cx,#women [1479] #women,#ehealth [1427] #reactjs,#wordpress [1422] #finserv,#fashiontech Top Word Pairs in Tweet in G1:
[180] #fintech,#insurtech [148] #cx,#women [148] #women,#ehealth [145] #finserv,#fashiontech [140] #digital,#cx [139] #ehealth,#datascience [137] #fashiontech,#insurtech [135] #ai,#finserv [134] #datascience,#ai [129] #datascientist,#digital Top Word Pairs in Tweet in G2:
[699] #cx,#women [698] #women,#ehealth [678] #finserv,#fashiontech [662] #ehealth,#datascience [647] #digital,#cx [644] #fashiontech,#insurtech [631] #ai,#finserv [623] #datascientist,#digital [613] #datascience,#ai [387] #100daysofcode,#javascript Top Word Pairs in Tweet in G3:
[1962] #ai,#iot [1951] #python,#ai [1927] #iot,#iiot [1707] #pytorch,#javascript [1639] #javascript,#reactjs [1371] #reactjs,#wordpress [1245] #iiot,#opensea [1202] #opensea,#pytorch [1191] #wordpress,#security [1056] #security,#defi Top Word Pairs in Tweet in G4:
[153] #ces2022,#ces [118] #insurtech,#finserv [117] #finserv,#marketing [98] #ces,#fintech [93] #neobanks,#payments [91] #marketing,#neobanks [78] #esg,#sdgs [72] #fintech,#insurtech [66] #fintech,#esg [46] #flutter,#python Top Word Pairs in Tweet in G5:
[59] #fintech,#insurtech [57] #financetechnology,#xyz [56] #financialservices,#financetechnology [54] #domains,#marketing [54] #marketing,#technology [54] business,opportunity [45] opportunity,grow [42] #technology,#technologynews [37] #xyz,#innovation [37] #innovation,#insurance Top Word Pairs in Tweet in G6:
[23] virtual,sales [23] sales,saas [23] saas,insurtech [23] insurtech,hcm [3] #insurance,#insurtech [3] look,forward [3] duck,creek [3] #fintech,#insurtech [2] happy,year [2] product,manager Top Word Pairs in Tweet in G7:
[7] newsletter,insurtechf [7] levée,fonds [7] rendez,pariteassurance [7] pariteassurance,startuppeuse [7] startuppeuse,février [5] #innovation,#digital [5] insurtechf,eficiens [4] débute,l'année [4] l'année,chapeaux [4] chapeaux,roue Top Word Pairs in Tweet in G8:
[18] #infographic,24 [18] 24,industries [18] industries,disrupted [18] disrupted,#ai [18] #ai,ingliguori [18] #robotics,#aiethics [17] ingliguori,#artificialintelligence [17] #artificialintelligence,#iotpl [16] #aiethics,#machinelearning [15] #iotpl,#machinelearning Top Word Pairs in Tweet in G9:
[23] technology,data [23] data,analytics [23] analytics,lead [23] lead,unprecedented [23] unprecedented,gains [23] gains,insurers [23] insurers,understand [23] understand,prevent [23] prevent,mitigate [23] mitigate,risks Top Word Pairs in Tweet in G10:
[5] digital,eye [5] eye,quantum [5] quantum,computing [5] computing,need [5] need,know [5] know,read [5] read,gt [5] gt,gt [5] gt,danfiehn [5] danfiehn,fgraillot 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 G5:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G7:
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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 G9:
Top Tweeters in G10: