The graph represents a network of 4,099 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 Sunday, 15 November 2020 at 13:28 UTC.
The requested start date was Friday, 13 November 2020 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 8-day, 14-hour, 7-minute period from Wednesday, 04 November 2020 at 10:50 UTC to Friday, 13 November 2020 at 00:58 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 : 4099
Unique Edges : 5117
Edges With Duplicates : 12365
Total Edges : 17482
Number of Edge Types : 5
Retweet : 4103
MentionsInRetweet : 6813
Tweet : 2127
Mentions : 4267
Replies to : 172
Self-Loops : 2251
Reciprocated Vertex Pair Ratio : 0.058727123736684
Reciprocated Edge Ratio : 0.1109391124871
Connected Components : 784
Single-Vertex Connected Components : 561
Maximum Vertices in a Connected Component : 2827
Maximum Edges in a Connected Component : 15648
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.155742
Graph Density : 0.000461491696899969
Modularity : 0.336849
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 4,099 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 Sunday, 15 November 2020 at 13:28 UTC.
The requested start date was Friday, 13 November 2020 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 8-day, 14-hour, 7-minute period from Wednesday, 04 November 2020 at 10:50 UTC to Friday, 13 November 2020 at 00:58 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:
[900] #fintech,#insurtech [432] #insurtech,#fintech [314] read,more [289] insurtech,startup [246] more,#accidents [240] #accidents,#claims [238] fgraillot,great [229] #claims,#disastermitigation [229] #disastermitigation,#insurance [229] #insurance,#insurancetechnology Top Word Pairs in Tweet in G1:
[542] #fintech,#insurtech [196] #insurtech,#fintech [87] fgraillot,great [84] financial,services [76] great,overview [63] #insurtech,#insurance [62] #ai,#machinelearning [59] #ai,#insurtech [57] #insurance,#insurtech [56] #bigdata,#insurtech Top Word Pairs in Tweet in G2:
[154] insurtech,startup [137] hong,kong [127] cathay,innovation [121] kong,insurtech [121] 14,million [120] startup,coherent [120] million,series [119] series,led [118] led,cathay [117] gets,14 Top Word Pairs in Tweet in G3:
[270] read,more [242] more,#accidents [236] #accidents,#claims [229] #claims,#disastermitigation [229] #disastermitigation,#insurance [229] #insurance,#insurancetechnology [229] #insurancetechnology,#insurtech [229] #insurtech,#points [229] #points,#riskmitigation [229] #riskmitigation,#technology Top Word Pairs in Tweet in G4:
[53] #fintech,#insurtech [44] #insurtech,#fintech [39] key,revolutionising [39] revolutionising,insurance [31] insurance,#insurtech [30] #lowcode,technology [30] technology,key [26] technative,#lowcode [22] artificial,intelligence [22] self,driving Top Word Pairs in Tweet in G5:
[114] fgraillot,great [97] great,overview [59] #insurtech,#fintech [43] overview,#ai [43] #ai,help [43] help,revamp [43] revamp,healthcare [43] healthcare,industry [43] industry,#digitalhealth [43] #digitalhealth,#insurtech Top Word Pairs in Tweet in G6:
[31] #insurtech,#insurance [17] thrilled,announce [15] #insurtech,#insurtechinsights [14] accelerator,cohort [11] #insurtechinsights,#insurance [9] brown,brown [9] global,insurance [8] covid,19 [8] congratulation,curacel [8] curacel,recognition Top Word Pairs in Tweet in G7:
[44] #fintech,#insurtech [22] largest,venture [22] #insurtech,#healthtech [21] venture135,2020 [21] still,sign [17] serving,one [17] one,selection [17] selection,committees [17] committees,venture135 [17] 2020,still Top Word Pairs in Tweet in G8:
[51] insurtech,startup [34] funding,round [30] 2m,seed [30] seed,funding [29] kenyan,insurtech [29] startup,turaco [29] turaco,raises [29] raises,2m [22] #insurtech,#fintech [20] disruptafrica,kenyan Top Word Pairs in Tweet in G9:
[14] panel,event [13] #healthtech,#proptech [13] #proptech,#gigeconomy [12] #gigeconomy,#smartcity [12] #smartcity,#machinelearning [12] #machinelearning,tech [12] tech,startups [11] insurtech,unlock [9] unlock,business [7] discover,insurtech Top Word Pairs in Tweet in G10:
[8] dia,prime [8] prime,time [7] #fintech,#insurtech [4] #robotic,process [4] process,automation [4] automation,#banking [4] #banking,industry [4] industry,#rpa [4] #rpa,#fintech [4] #insurtech,#digitaltransformation 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: