The graph represents a network of 2,415 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, 12 November 2021 at 13:16 UTC.
The requested start date was Friday, 12 November 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 2-day, 12-hour, 7-minute period from Tuesday, 09 November 2021 at 12:38 UTC to Friday, 12 November 2021 at 00:46 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 : 2415
Unique Edges : 3834
Edges With Duplicates : 15437
Total Edges : 19271
Number of Edge Types : 5
Retweet : 6014
MentionsInRetweet : 9090
Tweet : 847
Mentions : 3273
Replies to : 47
Self-Loops : 1097
Reciprocated Vertex Pair Ratio : 0.0563674321503132
Reciprocated Edge Ratio : 0.106719367588933
Connected Components : 221
Single-Vertex Connected Components : 149
Maximum Vertices in a Connected Component : 2006
Maximum Edges in a Connected Component : 18539
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.150284
Graph Density : 0.00112833865940742
Modularity : 0.219153
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 2,415 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, 12 November 2021 at 13:16 UTC.
The requested start date was Friday, 12 November 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 2-day, 12-hour, 7-minute period from Tuesday, 09 November 2021 at 12:38 UTC to Friday, 12 November 2021 at 00:46 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:
[1647] #datascience,#finserv [1536] #digital,#usa [1481] #robotics,#aiethics [1440] #ehealth,#datascience [1346] #cloud,#ehealth [1337] #usa,#tech [1247] #tech,#cloud [1079] #aiethics,#machinelearning [1069] #machinelearning,#ai [935] #ai,#python Top Word Pairs in Tweet in G1:
[525] #datascience,#finserv [488] #digital,#usa [457] #ehealth,#datascience [441] #cloud,#ehealth [432] #usa,#tech [410] #tech,#cloud [230] #finserv,#bigdata [225] #finserv,#machinelearning [195] #fintech,#insurtech [179] #javascript,#frenchtech Top Word Pairs in Tweet in G2:
[1385] #robotics,#aiethics [1029] #aiethics,#machinelearning [1023] #machinelearning,#ai [995] #datascience,#finserv [927] #digital,#usa [903] #ai,#python [873] #ehealth,#datascience [805] #usa,#tech [805] #cloud,#ehealth [747] #tech,#cloud Top Word Pairs in Tweet in G3:
[108] #datascience,#finserv [103] #digital,#usa [93] #ehealth,#datascience [87] #fintech,#insurtech [86] #cloud,#ehealth [84] #usa,#tech [82] #fintech,#ai [80] article,transforming [80] transforming,#fintech [80] #ai,better Top Word Pairs in Tweet in G4:
[46] #robotics,#aiethics [45] #csr,#corpgov [43] #wef,#datagovernance [43] #datagovernance,#futureofwork [42] #aml,#crypto [42] #insurtech,#fintech [38] #corpgov,#aml [38] #crypto,#finserv [38] #finserv,#wef [38] #futureofwork,#insurtech Top Word Pairs in Tweet in G5:
[11] fintech,insurtech [8] factors,underlying [8] underlying,insurtech [8] insurtech,valuations [7] #insurance,#insurtech [6] applications,artificial [6] artificial,intelligence [6] intelligence,fintech [6] insurtech,future [6] future,5g Top Word Pairs in Tweet in G6:
[32] #fintech,#insurtech [22] #infographic,#ai [22] #ai,#bank [22] #bank,#future [22] #future,ingliguori [22] ingliguori,#fintech [22] #insurtech,#fintechs [22] #fintechs,#banking [22] #banking,#tableau [22] #tableau,#rstats Top Word Pairs in Tweet in G7:
[8] l'#ia,française [7] française,plein [7] plein,boom [7] boom,frdigitale [7] frdigitale,répertorié [7] répertorié,502 [7] 502,startups [7] startups,dont [7] dont,c'est [7] c'est,métier Top Word Pairs in Tweet in G8:
[43] let's,go [43] go,teaming [43] teaming,mimodefi [43] mimodefi,harmonyprotocol [43] harmonyprotocol,fantomfdn [43] fantomfdn,swissborg [43] swissborg,#dubaidefi [43] #dubaidefi,largest [42] stacktical,let's [42] largest,hackath Top Word Pairs in Tweet in G9:
[14] gt,gt [5] join,#uwusa2021 [5] #uwusa2021,panel [5] panel,discussion [4] #upnext,#uwusa2021 [4] tony,tarquini [4] tarquini,insurtech_book [4] isg,shift [4] shift,technology [4] technology,join Top Word Pairs in Tweet in G10:
[7] truly,honoured [7] honoured,one [7] one,few [7] few,technology [7] technology,providers [7] providers,uk [7] uk,earn [7] earn,stars [7] stars,research [6] genasystech,truly Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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Top Replied-To in G4:
Top Replied-To in G6:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G7:
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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:
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Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: