The graph represents a network of 1,546 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 January 2022 at 13:08 UTC.
The requested start date was Friday, 14 January 2022 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 2-day, 4-hour, 44-minute period from Tuesday, 11 January 2022 at 20:16 UTC to Friday, 14 January 2022 at 01:00 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 : 1546
Unique Edges : 2245
Edges With Duplicates : 16948
Total Edges : 19193
Number of Edge Types : 5
Retweet : 6535
MentionsInRetweet : 9304
Tweet : 819
Mentions : 2450
Replies to : 85
Self-Loops : 893
Reciprocated Vertex Pair Ratio : 0.0491525423728814
Reciprocated Edge Ratio : 0.0936995153473344
Connected Components : 174
Single-Vertex Connected Components : 108
Maximum Vertices in a Connected Component : 1254
Maximum Edges in a Connected Component : 18814
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.320702
Graph Density : 0.00207320698158312
Modularity : 0.19142
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 1,546 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 January 2022 at 13:08 UTC.
The requested start date was Friday, 14 January 2022 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 2-day, 4-hour, 44-minute period from Tuesday, 11 January 2022 at 20:16 UTC to Friday, 14 January 2022 at 01:00 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:
[3091] #iot,#iiot [2839] #javascript,#reactjs [2699] #reactjs,#wordpress [2490] #pytorch,#javascript [2411] #wordpress,#security [2247] #iiot,#pytorch [2095] #security,#defi [2028] #python,#iot [1635] #defi,#ad [1343] #ai,#iot Top Word Pairs in Tweet in G1:
[262] #fintech,#insurtech [232] #machinelearning,#ai [218] #robotics,#aiethics [210] sign,free [210] free,charge [202] #aiethics,#machinelearning [183] charge,middlemen [181] middlemen,#robotics [137] #hiring,sign [127] #ai,#python Top Word Pairs in Tweet in G2:
[3027] #iot,#iiot [2784] #javascript,#reactjs [2646] #reactjs,#wordpress [2449] #pytorch,#javascript [2366] #wordpress,#security [2198] #iiot,#pytorch [2055] #security,#defi [1972] #python,#iot [1600] #defi,#ad [1249] #ai,#iot Top Word Pairs in Tweet in G3:
[327] #digital,#cx [326] #datascientist,#digital [312] #cx,#women [312] #women,#ehealth [303] #finserv,#fashiontech [232] #fashiontech,#insurtech [226] #ces2023,#finserv [204] #ehealth,#data [204] #data,#ces2023 [155] #bigdata,#100daysofcode Top Word Pairs in Tweet in G4:
[116] #cx,#women [116] #women,#ehealth [116] #finserv,#fashiontech [114] #digital,#cx [114] #fashiontech,#insurtech [113] #datascientist,#digital [111] chidambara09,#datascientist [95] #ces2023,#finserv [94] #ehealth,#data [94] #data,#ces2023 Top Word Pairs in Tweet in G5:
[8] #insurance,#insurtech [7] #insurtech,#insurance [6] virtual,sales [6] sales,saas [6] saas,insurtech [6] insurtech,hcm [6] fintech,insurtech [5] insurtech,platform [4] savvy,crowdfunding [4] crowdfunding,community Top Word Pairs in Tweet in G6:
[162] #robotics,#aiethics [130] #machinelearning,#ai [128] #aiethics,#machinelearning [68] #ai,#python [42] #python,#datascience [42] #fintech,#insurtech [42] sign,free [42] free,charge [39] #datascience,#bigdata [36] #100daysofcode,#robots Top Word Pairs in Tweet in G7:
[6] read,full [6] full,story [4] cyber,risk [3] insurtech,elderly [3] elderly,helper [3] helper,bees [3] bees,bags [3] bags,series [3] series,read [3] story,#fintech Top Word Pairs in Tweet in G8:
[3] few,days [3] days,go [3] go,until [3] until,rumpinsurance [3] rumpinsurance,releases [3] releases,#businessowners [3] #businessowners,#founders [3] #founders,#ceo [3] #ceo,#cfo [3] #cfo,#coo Top Word Pairs in Tweet in G9:
[7] #cx,#women [7] #women,#ehealth [7] #ces2023,#finserv [7] #finserv,#fashiontech [7] #fashiontech,#insurtech [5] #ehealth,#data [5] #data,#ces2023 [4] chidambara09,#datascientist [4] #datascientist,#digital [4] #digital,#cx Top Word Pairs in Tweet in G10:
[6] chbieck,ibmconsulting [6] ibmconsulting,ibm [6] risk,concierges [5] stratorob,interview [5] interview,highlights [5] highlights,chbieck [5] ibm,learn [5] learn,more [5] more,risk [5] concierges,successful Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G8:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: