The graph represents a network of 1,915 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, 17 December 2021 at 13:23 UTC.
The requested start date was Friday, 17 December 2021 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, 7-hour, 19-minute period from Tuesday, 14 December 2021 at 17:41 UTC to Friday, 17 December 2021 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 : 1915
Unique Edges : 3093
Edges With Duplicates : 17074
Total Edges : 20167
Number of Edge Types : 5
MentionsInRetweet : 9802
Mentions : 3290
Retweet : 6185
Tweet : 842
Replies to : 48
Self-Loops : 1128
Reciprocated Vertex Pair Ratio : 0.0472897196261682
Reciprocated Edge Ratio : 0.0903087631625915
Connected Components : 223
Single-Vertex Connected Components : 154
Maximum Vertices in a Connected Component : 1575
Maximum Edges in a Connected Component : 19703
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.175378
Graph Density : 0.00152865651200035
Modularity : 0.191035
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 1,915 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, 17 December 2021 at 13:23 UTC.
The requested start date was Friday, 17 December 2021 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, 7-hour, 19-minute period from Tuesday, 14 December 2021 at 17:41 UTC to Friday, 17 December 2021 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:
[1784] #fashiontech,#ehealth [1764] #frenchtech,#women [1626] #women,#fashiontech [1579] #cx,#iot [1579] #iot,#frenchtech [1522] #digital,#cx [1492] #datascientist,#digital [1469] #ehealth,#insurtech [1192] #insurtech,#datascien [1180] chidambara09,#datascientist Top Word Pairs in Tweet in G1:
[667] #fashiontech,#ehealth [645] #frenchtech,#women [603] #women,#fashiontech [593] #cx,#iot [593] #iot,#frenchtech [569] #ehealth,#insurtech [568] #digital,#cx [556] #datascientist,#digital [349] #insurtech,#fintech [318] #insurtech,#datascien Top Word Pairs in Tweet in G2:
[1057] #frenchtech,#women [1055] #fashiontech,#ehealth [961] #women,#fashiontech [924] #cx,#iot [924] #iot,#frenchtech [896] #digital,#cx [878] #datascientist,#digital [842] #ehealth,#insurtech [816] #insurtech,#datascien [809] chidambara09,#datascientist Top Word Pairs in Tweet in G3:
[134] #ces,#fintech [126] #ces2022,#ces [125] #insurtech,#finserv [105] #fintech,#esg [103] #finserv,#marketing [83] #flutter,#python [81] #marketing,#neobanks [80] #python,#javascript [76] #django,enricomolinari [74] #metaverse,#django Top Word Pairs in Tweet in G4:
[25] virtual,sales [25] sales,saas [25] saas,insurtech [25] insurtech,hcm [10] insurtech,industry [8] fintech,insurtech [8] switzerland,insurtech [8] industry,ranks [8] ranks,4th [8] 4th,within Top Word Pairs in Tweet in G5:
[27] great,overview [25] fgraillot,great [21] #insurtech,#fintech [21] overview,'embedded [21] 'embedded,finance' [21] finance',opportunity [21] opportunity,#fintech [21] #fintech,enables [21] enables,revamping [21] revamping,financial Top Word Pairs in Tweet in G6:
[15] #fintech,#insurtech [12] read,full [10] full,story [10] story,#fintech [7] découvrez,notre [7] notre,manifeste [7] manifeste,insurtechf [7] insurtechf,transparence [7] transparence,innovation [7] innovation,simplicité Top Word Pairs in Tweet in G7:
[11] #log4j,#robotics [10] #robotics,#aiethics [7] #aiethics,#machinelearning [6] join,#insurance [5] resting,pulse [4] insurers,join [4] #insurance,#digitalinsurance [4] #machinelearning,#ai [4] #ai,#python [4] hot,press Top Word Pairs in Tweet in G8:
[31] excited,announce [31] announce,we've [31] we've,received [31] received,grant [31] grant,algofoundation [31] algofoundation,continue [31] continue,building [31] building,day [31] day,day [31] day,#insurance Top Word Pairs in Tweet in G9:
[12] #fintech,#insurtech [4] 564,realtà [4] mld,euro [3] realtà,innovative [3] parla,spesso [3] spesso,boom [3] boom,#fintech [3] #fintech,dell [3] dell,#insurtech [3] #insurtech,ma Top Word Pairs in Tweet in G10:
[7] 12,25m [6] frog,capital [6] capital,takes [6] takes,leap [6] genasys,12 [6] 25m,raise [5] go,public [3] iot,insurtech [3] insurtech,leakbot_hq [3] leakbot_hq,go Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G9:
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 G10: