The graph represents a network of 2,404 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, 18 March 2022 at 12:09 UTC.
The requested start date was Friday, 18 March 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, 16-hour, 13-minute period from Tuesday, 15 March 2022 at 07:47 UTC to Friday, 18 March 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 : 2404
Unique Edges : 3259
Edges With Duplicates : 15532
Total Edges : 18791
Number of Edge Types : 5
Retweet : 5474
MentionsInRetweet : 7981
Tweet : 860
Mentions : 4302
Replies to : 174
Self-Loops : 1469
Reciprocated Vertex Pair Ratio : 0.0610833653476758
Reciprocated Edge Ratio : 0.1151339608979
Connected Components : 311
Single-Vertex Connected Components : 203
Maximum Vertices in a Connected Component : 1860
Maximum Edges in a Connected Component : 18040
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.945923
Graph Density : 0.00095623676172948
Modularity : 0.233246
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 2,404 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, 18 March 2022 at 12:09 UTC.
The requested start date was Friday, 18 March 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, 16-hour, 13-minute period from Tuesday, 15 March 2022 at 07:47 UTC to Friday, 18 March 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:
[1809] #women,#ehealth [1809] #ehealth,#ces2023 [1800] #ces2023,#finserv [1772] #cx,#women [1674] #finserv,#fashiontech [1635] #datascientist,#cloud [1621] #iot,#iiot [1407] #javascript,#reactjs [1237] #ai,#cx [1222] #reactjs,#wordpress Top Word Pairs in Tweet in G1:
[318] #ehealth,#ces2023 [316] #women,#ehealth [315] #ces2023,#finserv [312] #cx,#women [309] chidambara09,#datascientist [298] #datascientist,#cloud [292] #finserv,#fashiontech [254] #ai,#cx [230] #des2022,#ai [204] #fashiontech,# Top Word Pairs in Tweet in G2:
[1262] #women,#ehealth [1259] #ehealth,#ces2023 [1256] #ces2023,#finserv [1234] #cx,#women [1167] #finserv,#fashiontech [1116] #datascientist,#cloud [791] #ai,#cx [705] #des2022,#ai [662] chidambara09,#datascientist [638] #fashiontech,#insurtech Top Word Pairs in Tweet in G3:
[34] insurtech,insights [22] co,founder [19] according,richard [19] richard,lefley [19] lefley,industry [19] industry,legend [19] legend,co [19] founder,mic [19] mic,way [19] way,effectively Top Word Pairs in Tweet in G4:
[1600] #iot,#iiot [1390] #javascript,#reactjs [1206] #reactjs,#wordpress [1048] #pytorch,#javascript [1047] #wordpress,#security [986] #iiot,#pytorch [917] #security,#defi [894] #python,#iot [889] #ai,#iot [804] #python,#ai Top Word Pairs in Tweet in G5:
[12] insurtech,banka [12] #agritech,#cyber [12] newfound,global [12] peter,gillingwater [11] insurtech,insights [11] anadolubank,insurtech [11] banka,ödülü [10] neova,katılım [10] katılım,sigorta [10] itü,çekirdek Top Word Pairs in Tweet in G6:
[9] stand,23 [8] sa,stratégie [8] save,date [8] date,4ème [8] 4ème,rv [8] rv,pariteassurance [8] pariteassurance,startuppeuse [8] startuppeuse,28 [8] 28,avril [8] avril,12h30 Top Word Pairs in Tweet in G7:
[83] one,more [83] more,immediate [83] immediate,freelance [83] freelance,contract [83] contract,role [83] role,looking [83] looking,ui [83] ui,ux [83] ux,product [83] product,designer Top Word Pairs in Tweet in G8:
[236] #aiethics,#machinelearning [231] #machinelearning,#ai [231] #ai,#python [171] sign,free [171] free,middlemen [171] middlemen,#robotics [171] #robotics,#aiethics [115] #fintech,#insurtech [102] need,#job [102] #job,sign Top Word Pairs in Tweet in G9:
[14] mikequindazzi,#insurtech [13] #insurtech,#datascience [13] #datascience,#ml [13] #ml,#dl [9] #fintech,#insurtech [8] spirosmargaris,cruising [8] cruising,towards [8] towards,#sustainability [8] #sustainability,#automotive [8] #automotive,industry Top Word Pairs in Tweet in G10:
[26] looking,people [26] people,years [26] years,experience [26] experience,selling [26] selling,saas [26] saas,products [26] products,fluently [26] fluently,speak [26] speak,french [25] funkeonafuye,looking 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 G6:
Top Replied-To in G7:
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: