The graph represents a network of 1,916 Twitter users whose recent tweets contained "InsurTech", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 2/16/2023 5:00:35 PM. The network was obtained from Twitter on Friday, 17 February 2023 at 13:26 UTC.
The tweets in the network were tweeted over the 1806-day, 15-hour, 44-minute period from Thursday, 08 March 2018 at 09:15 UTC to Friday, 17 February 2023 at 01:00 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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 : 1916
Unique Edges : 1859
Edges With Duplicates : 9280
Total Edges : 11139
Number of Edge Types : 8
Retweet : 2807
MentionsInRetweet : 3582
Tweet : 1118
Mentions : 3252
Replies to : 84
MentionsInReplyTo : 221
Quote : 21
MentionsInQuote : 54
Self-Loops : 2810
Reciprocated Vertex Pair Ratio : 0.0588235294117647
Reciprocated Edge Ratio : 0.111111111111111
Connected Components : 411
Single-Vertex Connected Components : 309
Maximum Vertices in a Connected Component : 1262
Maximum Edges in a Connected Component : 10164
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 3.749455
Graph Density : 0.00078001929607483
Modularity : 0.224277
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 1,916 Twitter users whose recent tweets contained "InsurTech", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 2/16/2023 5:00:35 PM. The network was obtained from Twitter on Friday, 17 February 2023 at 13:26 UTC.
The tweets in the network were tweeted over the 1806-day, 15-hour, 44-minute period from Thursday, 08 March 2018 at 09:15 UTC to Friday, 17 February 2023 at 01:00 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
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:
[1819] #healthtech,#smartcity [1816] #datascientist,#csuite [1813] #smartcity,#5g [1812] #5g,#datascientist [1771] #vive2023,#healthtech [1770] #csuite,#digitalhealth [1767] #digitalhealth,#web3 [1750] #web3,#cx [1749] #cx,#ehealth [1223] chidambara09,#vive2023 Top Word Pairs in Tweet in G1:
[447] #healthtech,#smartcity [446] #vive2023,#healthtech [446] #datascientist,#csuite [445] #smartcity,#5g [445] #5g,#datascientist [444] #csuite,#digitalhealth [443] #digitalhealth,#web3 [435] chidambara09,#vive2023 [435] #web3,#cx [433] #cx,#ehealth Top Word Pairs in Tweet in G2:
[67] south,african [63] african,insurtech [58] insurtech,naked [52] ifc,leads [52] investment,south [51] leads,17m [51] 17m,investment [28] insurtech,startup [22] insurtech,platform [21] million,series Top Word Pairs in Tweet in G3:
[1312] #healthtech,#smartcity [1310] #datascientist,#csuite [1308] #smartcity,#5g [1307] #5g,#datascientist [1266] #csuite,#digitalhealth [1265] #vive2023,#healthtech [1264] #digitalhealth,#web3 [1258] #cx,#ehealth [1257] #web3,#cx [730] chidambara09,#vive2023 Top Word Pairs in Tweet in G4:
[55] #insurtech,#fintech [21] series,funding [19] #fintech,#insurtech [16] south,african [15] african,insurtech [15] key,strategies [15] read,more [14] founder,tapolyuk [14] tapolyuk,discusses [14] janthanak,ceo Top Word Pairs in Tweet in G5:
[104] #cryptocurrencies,#machinelearning [98] #machinelearning,#ai [87] #ai,#python [64] #deeplearning,#100daysofcode [64] #nocode,#bitcoin [64] #python,#deeplearning [64] #100daysofcode,#fintech [64] #fintech,#nocode [63] #insurtech,#chatgpt [62] #bitcoin,#cybersecurity Top Word Pairs in Tweet in G6:
[31] #insurtech,#insurance [30] #insurance,#technology [25] mandalore_minh,seedfounders [22] #technology,#finance [18] #insurance,#insurtech [14] free,#insurtech [14] contini,marco [14] #webinar,register [14] #insurtech,#webinar [14] latest,contini Top Word Pairs in Tweet in G7:
[35] #healthtech,#smartcity [35] #csuite,#digitalhealth [35] #smartcity,#5g [35] #5g,#datascientist [35] #vive2023,#healthtech [35] #digitalhealth,#web3 [35] #datascientist,#csuite [34] #web3,#cx [34] chidambara09,#vive2023 [34] #cx,#ehealth Top Word Pairs in Tweet in G8:
[9] #fintech,#insurtech [8] 150,million [7] million,series [7] insurance,industry [6] bharat,fintech [6] #insurance,#insurtech [5] round,led [5] insurtech,mena [5] insurance,producer [5] led,goldman Top Word Pairs in Tweet in G9:
[16] african,insurtech [16] south,african [12] ifc,leads [12] insurtech,naked [12] investment,south [12] leads,17m [12] 17m,investment [11] naked,ulonnaya [10] seed,funding [8] insurtech,startup Top Word Pairs in Tweet in G10:
[16] #insurtech,#insurance [10] insurtech,startup [9] #smartcity,#5g [9] #ehealth,# [9] #healthtech,#smartcity [9] #datascientist,#csuite [9] series,round [9] #cx,#ehealth [9] #web3,#cx [9] #digitalhealth,#web3 Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
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: