The graph represents a network of 1,863 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 March 2022 at 12:07 UTC.
The requested start date was Friday, 25 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, 9-hour, 57-minute period from Tuesday, 22 March 2022 at 13:42 UTC to Thursday, 24 March 2022 at 23:40 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 : 1863
Unique Edges : 2595
Edges With Duplicates : 17144
Total Edges : 19739
Number of Edge Types : 5
Retweet : 6251
MentionsInRetweet : 9429
Tweet : 833
Mentions : 3040
Replies to : 186
Self-Loops : 1412
Reciprocated Vertex Pair Ratio : 0.0554862842892768
Reciprocated Edge Ratio : 0.105138806851742
Connected Components : 213
Single-Vertex Connected Components : 134
Maximum Vertices in a Connected Component : 1509
Maximum Edges in a Connected Component : 19273
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.39467
Graph Density : 0.00146415036902124
Modularity : 0.206331
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 1,863 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 March 2022 at 12:07 UTC.
The requested start date was Friday, 25 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, 9-hour, 57-minute period from Tuesday, 22 March 2022 at 13:42 UTC to Thursday, 24 March 2022 at 23:40 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:
[3189] #iot,#iiot [2905] #javascript,#reactjs [2627] #reactjs,#wordpress [2336] #wordpress,#security [2039] #security,#defi [2022] #iiot,#pytorch [1923] #pytorch,#javascript [1916] #python,#iot [1579] #ai,#iot [1458] #python,#ai Top Word Pairs in Tweet in G1:
[376] #ehealth,#ces2023 [374] #datascientist,#cloud [373] #ces2023,#finserv [372] #women,#ehealth [360] #cx,#women [295] #quantum,#des2022 [293] #cloud,#quantum [284] #laziodigitale,#datascientist [281] #des2022,#cx [201] #fintech,#insurtech Top Word Pairs in Tweet in G2:
[3147] #iot,#iiot [2876] #javascript,#reactjs [2600] #reactjs,#wordpress [2314] #wordpress,#security [2018] #security,#defi [1983] #iiot,#pytorch [1918] #pytorch,#javascript [1883] #python,#iot [1515] #ai,#iot [1456] #python,#ai Top Word Pairs in Tweet in G3:
[9] insurtech,startup [8] #insurance,#insurtech [6] #insurtech,#insurance [5] nsi,insurance [5] insurance,group [5] group,acquires [5] acquires,majority [5] majority,stake [5] stake,insurtech [5] startup,honeyquote Top Word Pairs in Tweet in G4:
[318] #aiethics,#machinelearning [306] #machinelearning,#ai [281] #ai,#python [147] #fintech,#insurtech [132] sign,free [132] middlemen,#robotics [131] #robotics,#aiethics [128] free,middlemen [110] #bitcoin,#cybersecurity [109] #python,#deeplearning Top Word Pairs in Tweet in G5:
[24] read,full [24] full,story [23] story,#fintech [18] #fintech,#insurtech [15] #insurtech,#insurance [9] #insurance,#insuranceinnovation [7] #innovation,#insurtech [7] #paramétrique,peut [7] peut,aussi [7] aussi,être Top Word Pairs in Tweet in G6:
[4] #insurtech,#insurance [3] saturday,afternoon [3] afternoon,sun [3] sun,beer [3] beer,insurance [3] insurance,#insurtech [3] #insurance,insurtechla [3] team,making [3] making,sure [3] sure,more Top Word Pairs in Tweet in G7:
[6] rd,mckinsey [4] #insurtech,#sviaevents [3] free,#insurtech [3] #insurtech,#webinar [3] #webinar,info [3] info,#insurance [3] #cx,#insurtech [3] join,#insurance [2] #insurance,#propertycasualty [2] #propertycasualty,#commercialinsurance Top Word Pairs in Tweet in G8:
[8] open,data [6] cierra,ronda [6] convertirse,mejor [6] mejor,solución [5] wenalyze,cierra [5] solución,open [5] spanish,platform [5] platform,raises [5] raises,million [5] million,support Top Word Pairs in Tweet in G9:
[4] gerade,pitcht [4] pitcht,#accelerator [4] #accelerator,vorauswahl [4] vorauswahl,25 [4] 25,innovativen [4] innovativen,#startups [4] #startups,nachgang [4] nachgang,wählen [4] wählen,mitglieder [4] mitglieder,die Top Word Pairs in Tweet in G10:
[3] 30,million [3] read,more [3] 2022,03 [2] policygenius,we've [2] we've,helped [2] helped,30 [2] million,people [2] people,insurance [2] insurance,right [2] right,goosehead Top Replied-To in Entire Graph:
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Top Replied-To in G4:
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Top Replied-To in G6:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: