The graph represents a network of 3,337 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, 14 August 2020 at 11:58 UTC.
The requested start date was Friday, 14 August 2020 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 7-day, 6-hour, 14-minute period from Thursday, 06 August 2020 at 17:25 UTC to Thursday, 13 August 2020 at 23:39 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 : 3337
Unique Edges : 5246
Edges With Duplicates : 14593
Total Edges : 19839
Number of Edge Types : 5
Tweet : 1640
Retweet : 5175
MentionsInRetweet : 9837
Mentions : 3101
Replies to : 86
Self-Loops : 1783
Reciprocated Vertex Pair Ratio : 0.0435957263907651
Reciprocated Edge Ratio : 0.0835490703694987
Connected Components : 505
Single-Vertex Connected Components : 335
Maximum Vertices in a Connected Component : 2410
Maximum Edges in a Connected Component : 17791
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.029904
Graph Density : 0.000763368927273524
Modularity : 0.297366
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 3,337 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, 14 August 2020 at 11:58 UTC.
The requested start date was Friday, 14 August 2020 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 7-day, 6-hour, 14-minute period from Thursday, 06 August 2020 at 17:25 UTC to Thursday, 13 August 2020 at 23:39 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:
[1471] #fintech,#insurtech [713] #insurtech,#fintech [327] wef,enricomolinari [325] #ai,#fintech [313] #fintech,#finserv [281] #ngamiaafrica,#twafika [276] #twafika,#zibebe [269] #zibebe,#insurtech [233] ty,wef [224] #insurtech,#bigdata Top Word Pairs in Tweet in G1:
[1010] #fintech,#insurtech [308] #insurtech,#fintech [212] #ai,#fintech [175] #insurtech,#bigdata [137] read,more [132] andi_staub,reread [113] more,#accidents [108] #ai,#machinelearning [108] wef,enricomolinari [106] #accidents,#claims Top Word Pairs in Tweet in G2:
[125] #fintech,#insurtech [73] #insurtech,#fintech [47] #insurtech,startups [45] fgraillot,great [40] insurance,industry [33] bestof,#insurtech [32] great,map [31] read,#startup [29] #fintech,#ai [29] map,#fintech Top Word Pairs in Tweet in G3:
[44] #insurance,#insurtech [25] #fintech,#insurtech [12] fintech,insurtech [11] #insurtech,#insurance [10] #insurtech,#fintech [10] fintech,magazine [9] start,ups [9] insurance,industry [9] magazine,fintech [8] insurtech,industry Top Word Pairs in Tweet in G4:
[189] wef,enricomolinari [180] #fintech,#finserv [132] ty,wef [130] #finserv,#paytech [76] #ai,#fintech [69] kind,display [69] display,roll [69] roll,tube [69] tube,ty [69] ty,futurism Top Word Pairs in Tweet in G5:
[27] #insurtech,#insurance [24] #insurance,#insurtech [17] denisegarth,majesco_inc [16] ai,startup [16] hermann,fried [16] fried,bsurance [15] sviaccelerator,join [13] #fintech,#insurance [13] founder,wellahealth [12] join,mikeatspice Top Word Pairs in Tweet in G6:
[167] #fintech,#insurtech [68] #ppc,works [68] works,#infographics [68] #infographics,#digital [68] #digital,#smm [68] #smm,#fintech [68] #insurtech,#marketing [68] #marketing,#digitalmarketing [68] #digitalmarketing,#wordpress [68] #wordpress,#branding Top Word Pairs in Tweet in G7:
[13] #shapingfintech,webinar [10] #insurance,#insurtech [10] insurtech,magazine [9] #insurtech,#insurance [8] live,#shapingfintech [8] guest,speakers [7] loum_smith,edleonklinger [7] accelerator,programme [6] #fintech,#data [6] over,last Top Word Pairs in Tweet in G8:
[32] #fintech,#insurtech [23] long,term [22] startup,insurtech [18] #blockchain,technology [17] use,#blockchain [17] technology,nitish [17] nitish,singh [17] singh,101blockchains [17] 101blockchains,observatore2 [16] observatore2,use Top Word Pairs in Tweet in G9:
[10] stack,maturing [10] maturing,identity [10] identity,aadhaar [10] aadhaar,payments [10] payments,upi [10] upi,credit [10] credit,ocen [10] ocen,open [10] open,insurance [10] insurance,protocol Top Word Pairs in Tweet in G10:
[5] insurance,industry [5] start,assurance [5] assurance,auto [5] auto,buckle [5] buckle,getbuckle [5] getbuckle,lève [5] lève,31 [5] 31,millions [5] millions,série [5] série,eosvp Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G5:
Top Replied-To in G7:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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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 G3:
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Top Tweeters in G6:
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Top Tweeters in G10: