The graph represents a network of 3,530 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, 30 July 2021 at 12:17 UTC.
The requested start date was Friday, 30 July 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 6-day, 5-hour, 9-minute period from Friday, 23 July 2021 at 18:50 UTC to Friday, 30 July 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 : 3530
Unique Edges : 4785
Edges With Duplicates : 13820
Total Edges : 18605
Number of Edge Types : 5
Mentions : 3505
Retweet : 4920
MentionsInRetweet : 8393
Tweet : 1686
Replies to : 101
Self-Loops : 1883
Reciprocated Vertex Pair Ratio : 0.0487438558164937
Reciprocated Edge Ratio : 0.0929566462700169
Connected Components : 624
Single-Vertex Connected Components : 461
Maximum Vertices in a Connected Component : 2506
Maximum Edges in a Connected Component : 17114
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.65888
Graph Density : 0.000616582793960523
Modularity : 0.287733
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 3,530 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, 30 July 2021 at 12:17 UTC.
The requested start date was Friday, 30 July 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 6-day, 5-hour, 9-minute period from Friday, 23 July 2021 at 18:50 UTC to Friday, 30 July 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:
[686] #fintech,#insurtech [625] #iiot,#iot [559] #bigdata,#uk [554] #insurtech,#fintech [544] #uk,#crypto [531] #iot,#finserv [384] #healthcare,#iiot [370] #crypto,#healthcare [318] insurtech,startup [259] wef,enricomolinari Top Word Pairs in Tweet in G1:
[272] #fintech,#insurtech [261] #insurtech,#fintech [200] #iiot,#iot [178] #bigdata,#uk [171] #uk,#crypto [164] #iot,#finserv [129] #healthcare,#iiot [126] #crypto,#healthcare [87] #cybersecurity,#ai [85] #insurtech,#insurance Top Word Pairs in Tweet in G2:
[111] insurtech,valuations [110] worried,insurtech [53] insurtech,startup [37] 17,5m [36] startup,spot [35] spot,brings [35] brings,17 [35] 5m,equity [35] equity,debt [34] debt,fill Top Word Pairs in Tweet in G3:
[182] wef,enricomolinari [82] enricomolinari,#fintech [75] #finserv,#insurtech [72] #insurtech,#fintech [66] #fintech,#finserv [63] #esg,#finserv [46] enricomolinari,#ehealth [46] #ai,#iot [44] #fintech,#insurtech [43] tree,taxonomy Top Word Pairs in Tweet in G4:
[400] #iiot,#iot [365] #bigdata,#uk [358] #uk,#crypto [347] #iot,#finserv [243] #healthcare,#iiot [233] #crypto,#healthcare [184] #finserv,#socialmedia [116] #crypto,#blogs [92] #blogs,#iiot [87] #datascience,#ai Top Word Pairs in Tweet in G5:
[95] #insurtech,#fintech [59] great,map [58] map,#nocode [58] #nocode,low [58] low,code [58] code,startups [58] startups,#insurtech [42] fgraillot,great [27] #fintech,#insurtech [18] q2,2021 Top Word Pairs in Tweet in G6:
[121] #fintech,#insurtech [40] #insurtech,#insurance [24] worried,insurtech [24] insurtech,valuations [17] #machinelearning,#fintech [17] #ai,#machinelearning [16] perfecting,#mapping [16] #mapping,#ai [15] #insurtech,#vc [15] spirosmargaris,perfecting Top Word Pairs in Tweet in G7:
[104] #fintech,#insurtech [63] #startup,#innovation [58] #insurtech,#startup [50] #innovation,#finserv [29] #finserv,#banking [29] #banking,#payment [29] #payment,#lending [29] #lending,#investment [29] #investment,#digital [18] #insurtech,#banking Top Word Pairs in Tweet in G8:
[120] insurtech,startup [112] startup,pineapple [110] pineapple,secures [110] secures,r80m [110] r80m,funding [107] breaking,south [107] south,african [107] african,insurtech [106] founderssauce,breaking [14] refiloe,matlapeng Top Word Pairs in Tweet in G9:
[71] insurtech,startup [67] startup,pineapple [44] johannesburg,insurtech [44] pineapple,secures [44] secures,r80m [44] r80m,funding [35] ventureburn,johannesburg [26] series,funding [22] 4m,series [19] sa,insurtech Top Word Pairs in Tweet in G10:
[7] series,led [5] #insurtech,#usagebasedinsurance [4] half,2021 [4] #usagebasedinsurance,#paybymile [4] full,year [4] year,results [4] results,line [4] line,insurtech [4] insurtech,performance [4] performance,year Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G7:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G6:
Top Mentioned in G7:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: