The graph represents a network of 2,048 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, 31 December 2021 at 13:12 UTC.
The requested start date was Friday, 31 December 2021 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 3-day, 10-hour, 32-minute period from Monday, 27 December 2021 at 14:28 UTC to Friday, 31 December 2021 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 : 2048
Unique Edges : 3516
Edges With Duplicates : 17568
Total Edges : 21084
Number of Edge Types : 5
Retweet : 6070
MentionsInRetweet : 9845
Mentions : 4294
Tweet : 775
Replies to : 100
Self-Loops : 1051
Reciprocated Vertex Pair Ratio : 0.0481908161609606
Reciprocated Edge Ratio : 0.0919504643962848
Connected Components : 190
Single-Vertex Connected Components : 122
Maximum Vertices in a Connected Component : 1736
Maximum Edges in a Connected Component : 20672
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.22907
Graph Density : 0.00154093643136297
Modularity : 0.197405
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 2,048 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, 31 December 2021 at 13:12 UTC.
The requested start date was Friday, 31 December 2021 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 3-day, 10-hour, 32-minute period from Monday, 27 December 2021 at 14:28 UTC to Friday, 31 December 2021 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:
[1276] #digital,#cx [1269] #datascientist,#digital [1075] #cx,#women [1075] #women,#ehealth [1050] #finserv,#fashiontech [999] #fashiontech,#insurtech [983] #ai,#finserv [910] #ehealth,#datascience [894] #fintech,#insurtech [882] #datascience,#ai Top Word Pairs in Tweet in G1:
[470] #digital,#cx [466] #datascientist,#digital [424] #cx,#women [424] #women,#ehealth [423] #finserv,#fashiontech [411] #fashiontech,#insurtech [401] #ai,#finserv [373] #ehealth,#datascience [351] #datascience,#ai [318] #bigdata,#100daysofcode Top Word Pairs in Tweet in G2:
[668] #digital,#cx [665] #datascientist,#digital [579] #cx,#women [579] #women,#ehealth [563] #finserv,#fashiontech [555] chidambara09,#datascientist [526] #fashiontech,#insurtech [523] #fintech,#insurtech [511] #ai,#finserv [490] #ces2022,#ces Top Word Pairs in Tweet in G3:
[211] #ces2022,#ces [198] #finserv,#marketing [183] #insurtech,#finserv [182] #ces,#fintech [163] #esg,#sdgs [149] #fintech,#esg [126] #sdgs,#insurtech [108] #datascientist,#digital [108] #digital,#cx [102] #marketing,#neobanks Top Word Pairs in Tweet in G4:
[32] #insurtech,#fintech [22] job,sign [22] sign,free [22] #machinelearning,#ai [19] free,charge [18] #fintech,#insurtech [18] #insurance,#insurtech [16] #ces2022,#ces [14] #ai,#iot [14] uk,insurance Top Word Pairs in Tweet in G5:
[10] monetizing,bank [8] #insurtech,#insurance [8] invite,#brokers [8] #brokers,#intermediary [8] #intermediary,well [8] well,serious [8] serious,clients [8] clients,investor [8] investor,needs [8] needs,#investments Top Word Pairs in Tweet in G6:
[25] #ai,magazine [25] magazine,focus [25] focus,ai [25] ai,#fintech [25] #fintech,spotlighting [25] spotlighting,key [25] key,leaders [25] leaders,influencers [24] kirkdborne,#ai [24] influencers,asifrazzaq198 Top Word Pairs in Tweet in G7:
[26] mt,ingliguori [26] ingliguori,fisher85m [25] #cybersecurity,#mobile [25] #mobile,#ethereum [24] world,use [24] use,cases [24] cases,mt [21] #fintech,#insurtech [17] #blockchain,#cybersecurity [16] 50,blockchain Top Word Pairs in Tweet in G8:
[161] #csr,#corpgov [141] #aml,#crypto [139] #corpgov,#aml [139] #insurtech,#fintech [138] #crypto,#finserv [138] #finserv,#wef [138] #wef,#datagovernance [138] #datagovernance,#futureofwork [138] #futureofwork,#insurtech [117] martinhoyes,#csr Top Word Pairs in Tweet in G9:
[5] mobility,spinta [5] spinta,hi [5] hi,tech [5] tech,farà [5] farà,cambiare [5] cambiare,modello [5] modello,business [5] business,delle [5] delle,assicurazioni [5] assicurazioni,ey_italy Top Word Pairs in Tweet in G10:
[8] free,#insurtech [8] #insurtech,#webinar [8] #webinar,info [6] join,#insurance [6] info,#innovation [5] #insurtech,#sviaevents [5] wendy,aarons [5] aarons,corman [5] corman,owitglobal [5] sviaccelerator,join Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G8:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G5:
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Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: