The graph represents a network of 4,010 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, 23 October 2020 at 12:09 UTC.
The requested start date was Friday, 23 October 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 8-day, 1-hour, 19-minute period from Wednesday, 14 October 2020 at 22:32 UTC to Thursday, 22 October 2020 at 23:51 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 : 4010
Unique Edges : 5243
Edges With Duplicates : 12647
Total Edges : 17890
Number of Edge Types : 5
Retweet : 4370
MentionsInRetweet : 7723
Tweet : 2030
Mentions : 3603
Replies to : 164
Self-Loops : 2152
Reciprocated Vertex Pair Ratio : 0.055348178658772
Reciprocated Edge Ratio : 0.104890840346384
Connected Components : 679
Single-Vertex Connected Components : 471
Maximum Vertices in a Connected Component : 2865
Maximum Edges in a Connected Component : 16109
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.191167
Graph Density : 0.000510012073831386
Modularity : 0.333077
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 4,010 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, 23 October 2020 at 12:09 UTC.
The requested start date was Friday, 23 October 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 8-day, 1-hour, 19-minute period from Wednesday, 14 October 2020 at 22:32 UTC to Thursday, 22 October 2020 at 23:51 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:
[1304] #fintech,#insurtech [341] #insurtech,#fintech [303] disrupted,#ai [295] 24,industries [295] industries,disrupted [275] read,more [194] #artificialintelligence,#machinelearning [183] more,#accidents [180] #insurtech,#insurance [179] #insurance,#insurtech Top Word Pairs in Tweet in G1:
[659] #fintech,#insurtech [169] #insurtech,#fintech [124] andi_staub,#bigdata [89] #bigdata,#fintech [84] fgraillot,great [64] #bigdata,#iot [64] #insurtech,#ai [63] #ai,#fintech [62] #insurtech,#health [60] #smartcities,#ai Top Word Pairs in Tweet in G2:
[314] #fintech,#insurtech [70] tech,#startups [67] disrupted,#ai [61] 24,industries [61] industries,disrupted [60] #insurtech,#fintech [59] leldesmits,thecapnet [59] thecapnet,tv [59] #startups,#fintech [58] artificial,intelligence Top Word Pairs in Tweet in G3:
[98] valuation,pending [97] pending,ipo [96] root,targets [96] targets,6b [96] 6b,valuation [95] ipo,boon [94] insurtech,startups [93] boon,insurtech [24] #insurance,#insurtech [19] fintech,insurtech Top Word Pairs in Tweet in G4:
[156] 24,industries [156] industries,disrupted [156] disrupted,#ai [104] #fintech,#insurtech [86] #ai,ingliguori [86] ingliguori,#artificialintelligence [86] #artificialintelligence,#iotpl [83] #infographic,24 [82] ingliguori,#infographic [82] #iotpl,# Top Word Pairs in Tweet in G5:
[13] itc,global [11] insuretech,connect [10] #insurance,#insurtech [10] uk,#insurtech [9] virtual,stage [9] clara,analytics [9] looking,forward [9] insurtech_uk,matthodgeslong [9] matthodgeslong,mhclg [8] ourkettle,reinsurance Top Word Pairs in Tweet in G6:
[24] #fintech,#insurtech [24] insurtech,startup [21] click2sure,raises [19] #insurtech,#insurance [19] rand,investment [17] #insurtech,#fintech [17] multi,million [17] million,rand [14] sa,insurtech [14] startup,click2sure Top Word Pairs in Tweet in G7:
[26] #fintech,#insurtech [23] appel,projets [19] #insurtech,#regtech [17] assurance,emprunteur [14] nouvelle,génération [14] bertrandvialle,fondateur [14] fondateur,baloonafrica [14] nelbro,interview [12] fintech,insurtech [11] interview,bertrandvialle Top Word Pairs in Tweet in G8:
[8] exciting,news [8] intuit,quickbooks [7] co,founder [6] news,today [6] today,ve [6] ve,teamed [6] teamed,intuit [6] quickbooks,bring [6] bring,fast [6] fast,easy Top Word Pairs in Tweet in G9:
[20] insurtech,startups [17] root,targets [17] targets,6b [17] 6b,valuation [17] valuation,pending [17] pending,ipo [17] ipo,boon [15] boon,insurtech [8] startups,alex [8] techcrunch,root Top Word Pairs in Tweet in G10:
[10] evento,#digital [9] próximo,evento [9] #digital,discover [9] discover,#top10 [9] #top10,insurtech [9] pierdas,nuevo [9] nuevo,ejemplar [9] ejemplar,conectando [9] conectando,ecosistema [9] ecosistema,start Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: