The graph represents a network of 3,460 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, 26 March 2021 at 12:14 UTC.
The requested start date was Friday, 26 March 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 4-day, 4-hour, 51-minute period from Sunday, 21 March 2021 at 19:05 UTC to Thursday, 25 March 2021 at 23:57 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 : 3460
Unique Edges : 4683
Edges With Duplicates : 13854
Total Edges : 18537
Number of Edge Types : 5
Retweet : 5074
MentionsInRetweet : 9036
Tweet : 1701
Mentions : 2641
Replies to : 85
Self-Loops : 1883
Reciprocated Vertex Pair Ratio : 0.044186688760011
Reciprocated Edge Ratio : 0.0846336947897382
Connected Components : 560
Single-Vertex Connected Components : 368
Maximum Vertices in a Connected Component : 2407
Maximum Edges in a Connected Component : 16868
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 4.02477
Graph Density : 0.000631844213052321
Modularity : 0.30937
NodeXL Version : 1.0.1.444
Data Import : The graph represents a network of 3,460 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, 26 March 2021 at 12:14 UTC.
The requested start date was Friday, 26 March 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 4-day, 4-hour, 51-minute period from Sunday, 21 March 2021 at 19:05 UTC to Thursday, 25 March 2021 at 23:57 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:
[916] #women,#insurtech [893] #bigdata,#uk [881] #uk,#linkedin [847] #insurtech,#usa [766] #supplychain,#women [765] #linkedin,#supplychain [752] #fintech,#insurtech [448] #usa,#socialmedia [258] #socialmedia,#iiot [222] #iiot,#iot Top Word Pairs in Tweet in G1:
[554] #fintech,#insurtech [152] #insurtech,#fintech [76] #smartcities,#ai [73] #artificialintelligence,#ai [72] #insurtech,#digitalexperience [64] globaliqx,#artificialintelligence [63] #ai,#iot [62] #bigdata,#ai [61] #ai,#fintech [61] #bigdata,#artificialintelligence Top Word Pairs in Tweet in G2:
[803] #women,#insurtech [800] #bigdata,#uk [788] #uk,#linkedin [766] #insurtech,#usa [686] #supplychain,#women [682] #linkedin,#supplychain [415] #usa,#socialmedia [242] #socialmedia,#iiot [186] #iiot,#iot [177] dailymail,#bigdata Top Word Pairs in Tweet in G3:
[22] fintech,magazine [19] #fintech,#insurtech [17] #insurance,#insurtech [16] #women,#insurtech [15] magazine,fintech [12] insured,nomads [10] signs,deal [10] deal,insured [10] nomads,global [10] global,insurtech Top Word Pairs in Tweet in G4:
[31] #insurtech,#bigdata [28] #women,#insurtech [28] #insurtech,#usa [27] #bigdata,#uk [27] #uk,#linkedin [25] #linkedin,#supplychain [25] #supplychain,#women [21] #insurtech,#insurance [17] #insurance,#insurtech [16] insurance,finance Top Word Pairs in Tweet in G5:
[36] #insurance,#insurtech [21] #insurtech,#insurance [13] digital,insurance [11] #insurance,industry [9] accenture,#insurtech [9] insurance,#insurtech [9] #fintech,#insurtech [9] daily,thanks [8] #futureofclaims,#insurtech [8] announce,partnership Top Word Pairs in Tweet in G6:
[154] co,founder [154] founder,unore [152] unoreinsure,introducing [92] jaskanwar,singh [85] introducing,jaskanwar [85] singh,award [85] award,winning [85] winning,ceo [85] ceo,co [85] unore,before Top Word Pairs in Tweet in G7:
[36] #insurtech,#bigdata [23] first,interactive [16] interactive,insurtech [13] #fintech,#insurtech [12] f10_accelerator,hits_insurtech [11] launch,first [11] insurtech,dach [11] dach,map [11] map,f10_accelerator [11] qoala,acquires Top Word Pairs in Tweet in G8:
[11] social,media [9] artificial,intelligence [9] intelligence,automation [9] automation,greater [9] greater,data [9] data,insights [9] insights,impact [9] impact,insurance [9] insurance,sector [8] csuitetechpoint,artificial Top Word Pairs in Tweet in G9:
[40] corporate,baker [38] tezos,ecosystem [33] wakam,joins [33] joins,tezos [33] ecosystem,corporate [33] baker,find [33] find,more [33] more,xtz [32] xtznews,wakam [32] xtz,#tezos Top Word Pairs in Tweet in G10:
[5] amazon,apple [5] apple,google [3] google,opened [3] opened,mass [3] mass,market [3] market,#smarthome [3] #smarthome,insurance [3] insurance,krystianzajac [3] krystianzajac,adam [3] adam,whistler Top Replied-To in Entire Graph:
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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 G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G5:
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Top Tweeters in G10: