The graph represents a network of 2,116 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, 20 May 2022 at 12:32 UTC.
The requested start date was Friday, 20 May 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, 12-hour, 5-minute period from Tuesday, 17 May 2022 at 11:56 UTC to Friday, 20 May 2022 at 00:01 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 : 2116
Unique Edges : 3256
Edges With Duplicates : 16509
Total Edges : 19765
Number of Edge Types : 5
Mentions : 3058
Retweet : 6101
MentionsInRetweet : 9555
Tweet : 888
Replies to : 163
Self-Loops : 1272
Reciprocated Vertex Pair Ratio : 0.0464396284829721
Reciprocated Edge Ratio : 0.0887573964497041
Connected Components : 284
Single-Vertex Connected Components : 190
Maximum Vertices in a Connected Component : 1638
Maximum Edges in a Connected Component : 19128
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.406555
Graph Density : 0.00128392479677522
Modularity : 0.215744
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 2,116 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, 20 May 2022 at 12:32 UTC.
The requested start date was Friday, 20 May 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, 12-hour, 5-minute period from Tuesday, 17 May 2022 at 11:56 UTC to Friday, 20 May 2022 at 00:01 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:
[2688] #iot,#iiot [2472] #javascript,#reactjs [2261] #python,#iot [2235] #iiot,#pytorch [2159] #reactjs,#wordpress [1990] #wordpress,#security [1753] #security,#defi [1215] #fintech,#insurtech [1103] #pytorch,#javascript [988] #defi,#ad Top Word Pairs in Tweet in G1:
[616] #cx,#women [615] #women,#ehealth [614] #datascientist,#mwc22 [613] #healthtech,#datascientist [613] #ehealth,#ces2023 [607] #ai,#digitalhealth [604] #mwc22,#ai [503] #digitalhealth,#startups [503] #startups,#cx [371] chidambara09,#healthtech Top Word Pairs in Tweet in G2:
[2627] #iot,#iiot [2417] #javascript,#reactjs [2205] #python,#iot [2182] #iiot,#pytorch [2109] #reactjs,#wordpress [1942] #wordpress,#security [1706] #security,#defi [1093] #pytorch,#javascript [972] #defi,#ad [810] #fintech,#insurtech Top Word Pairs in Tweet in G3:
[84] #fintech,#insurtech [50] #machinelearning,#ai [46] #aiethics,#machinelearning [41] #insurtech,#fintech [37] mikequindazzi,#insurtech [35] #ai,#python [34] #insurtech,#datascience [34] #datascience,#ml [30] #ml,#dl [30] sign,free Top Word Pairs in Tweet in G4:
[36] #fintech,#insurtech [34] #mining,#fintech [34] #insurtech,#crypto [32] #helios,#mining [32] #crypto,#bitcoin [12] insurtech,startup [10] insurtech,insights [9] project,very [7] helios,fund [6] learn,more Top Word Pairs in Tweet in G5:
[14] #aiethics,#machinelearning [14] #machinelearning,#ai [9] #assurance,#insurtech [8] #ai,#python [7] avec_alan,surprend [7] surprend,nouvelle [7] nouvelle,fois [7] fois,intégrant [7] intégrant,l'offre [7] l'offre,courtier Top Word Pairs in Tweet in G6:
[14] next,week [8] future,insurance [8] iti_insurtech,americas [7] americas,2022 [7] insurance,#podcast [6] co,founder [6] insurtech,insights [6] award,program [6] program,insurtech [6] insurtech,year Top Word Pairs in Tweet in G7:
[56] #insurtech,#csuite [46] #wef,#finserv [42] #csr,#datagovernance [42] #finserv,#cx [38] #salesforce,#crm [35] #futureofwork,#corpgov [33] #datagovernance,#wef [33] #cx,#salesforce [33] #crm,#futureofwork [33] #corpgov,#insurtech Top Word Pairs in Tweet in G8:
[7] free,#insurtech [7] #insurtech,#webinar [7] #webinar,info [7] #insurance,#propertycasualty [6] join,#insurance [6] #insurtech,#sviaevents [5] carroll_melis,majesco_inc [5] info,#insurance [5] #cx,#insurtech [4] sviaccelerator,join Top Word Pairs in Tweet in G9:
[6] demo,arena [6] looking,forward [6] europe,#insurtechinsights2022 [5] #insurtech,#cologne [4] insurenxt,tomorrow [4] #insurenxt,#insurtech [4] #insurtech,#innovateinsurance [4] #innovateinsurance,#insurenxt2022 [4] booth,018 [4] 018,expo Top Word Pairs in Tweet in G10:
[21] #mining,#fintech [21] #fintech,#insurtech [21] #insurtech,#crypto [20] #helios,#mining [19] #crypto,#bitcoin [9] fundhelios,#helios [8] project,fundhelios [5] experienced,team [5] white,paper [5] heliosfund,io Top Replied-To in Entire Graph:
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Top Replied-To in G5:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: