The graph represents a network of 2,670 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, 29 October 2021 at 12:14 UTC.
The requested start date was Friday, 29 October 2021 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, 21-hour, 22-minute period from Tuesday, 26 October 2021 at 02:37 UTC to Friday, 29 October 2021 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 : 2670
Unique Edges : 3454
Edges With Duplicates : 14594
Total Edges : 18048
Number of Edge Types : 5
Retweet : 5500
MentionsInRetweet : 7832
Mentions : 3446
Tweet : 1204
Replies to : 66
Self-Loops : 1415
Reciprocated Vertex Pair Ratio : 0.0573224852071006
Reciprocated Edge Ratio : 0.108429520811473
Connected Components : 373
Single-Vertex Connected Components : 275
Maximum Vertices in a Connected Component : 2029
Maximum Edges in a Connected Component : 17134
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.264155
Graph Density : 0.000802387798316922
Modularity : 0.216537
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 2,670 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, 29 October 2021 at 12:14 UTC.
The requested start date was Friday, 29 October 2021 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, 21-hour, 22-minute period from Tuesday, 26 October 2021 at 02:37 UTC to Friday, 29 October 2021 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:
[1903] #robotics,#aiethics [1609] #aiethics,#machinelearning [1588] #machinelearning,#ai [1313] need,job [1313] job,sign [1153] jobpreference,need [961] #digital,#tech [937] #datascience,#finserv [886] #tech,#cloud [846] sign,middleman Top Word Pairs in Tweet in G1:
[699] #robotics,#aiethics [582] #aiethics,#machinelearning [572] #machinelearning,#ai [478] need,job [478] job,sign [471] jobpreference,need [297] sign,middleman [297] middleman,free [297] free,charge [296] charge,#robotics Top Word Pairs in Tweet in G2:
[349] #digital,#tech [345] #datascience,#finserv [321] #tech,#cloud [302] #ai,#datascience [276] #finserv,#machinelearning [256] #cloud,#ai [241] #machinelearning,#bigdata [188] #bigdata,#100daysofcode [152] #100daysofcode,#javascript [152] enilev,evasmartai Top Word Pairs in Tweet in G3:
[42] #fintech,#insurtech [31] #insurance,#insurtech [22] #insurtech,#fintech [17] #insurtech,#payments [14] stratorob,digitalmasterch [14] top,10 [13] forbes,stratorob [13] stratorob,chidambara09 [13] backed,insurtech [13] joins,unicorn Top Word Pairs in Tweet in G4:
[40] 255,million [38] amazon,backed [38] backed,insurtech [38] insurtech,acko [38] million,funding [37] unicorn,club [37] club,255 [36] acko,joins [36] joins,unicorn [29] thailand,insurtech Top Word Pairs in Tweet in G5:
[425] #digital,#tech [412] #datascience,#finserv [398] #tech,#cloud [356] #ai,#datascience [335] #finserv,#machinelearning [319] #cloud,#ai [275] #robotics,#aiethics [273] #machinelearning,#bigdata [222] #aiethics,#machinelearning [220] #machinelearning,#ai Top Word Pairs in Tweet in G6:
[916] #robotics,#aiethics [799] #aiethics,#machinelearning [789] #machinelearning,#ai [650] need,job [650] job,sign [498] jobpreference,need [425] sign,middleman [425] middleman,free [425] free,charge [423] charge,#robotics Top Word Pairs in Tweet in G7:
[108] full,list [95] #insurtech100,list [87] list,#insurtech [53] #insurtech,#insurance [51] check,full [49] #insurtech,#fintech [37] list,check [37] 2021,#insurtech100 [33] find,full [31] well,done Top Word Pairs in Tweet in G8:
[46] 100,#insurtech [46] #insurtech,startups [46] startups,watch [46] watch,worldwide [46] worldwide,according [46] according,'fintech [46] 'fintech,global' [45] global',annual [45] annual,selection [45] selection,#fintech Top Word Pairs in Tweet in G9:
[66] gran,bretagna [66] bretagna,deciso [66] deciso,sarà [66] sarà,prima [66] prima,fare [66] fare,esperimenti [66] esperimenti,#creditosociale [66] #creditosociale,premi [66] premi,punizioni [66] punizioni,secondo Top Word Pairs in Tweet in G10:
[15] insurtech,50 [12] great,see [11] well,done [11] voted,uk's [11] uk's,insurtech [11] 50,see [11] see,ranking [11] ranking,full [10] see,lborouniversity [10] lborouniversity,insurtech Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: