The graph represents a network of 1,583 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, 18 February 2022 at 13:10 UTC.
The requested start date was Friday, 18 February 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, 7-hour, 18-minute period from Tuesday, 15 February 2022 at 17:42 UTC to Friday, 18 February 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 : 1583
Unique Edges : 2328
Edges With Duplicates : 16125
Total Edges : 18453
Number of Edge Types : 5
Tweet : 1016
Retweet : 6027
MentionsInRetweet : 8494
Mentions : 2794
Replies to : 122
Self-Loops : 1479
Reciprocated Vertex Pair Ratio : 0.0372988785958069
Reciprocated Edge Ratio : 0.0719153936545241
Connected Components : 290
Single-Vertex Connected Components : 186
Maximum Vertices in a Connected Component : 1043
Maximum Edges in a Connected Component : 17671
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.438153
Graph Density : 0.00169907351577643
Modularity : 0.18718
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 1,583 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, 18 February 2022 at 13:10 UTC.
The requested start date was Friday, 18 February 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, 7-hour, 18-minute period from Tuesday, 15 February 2022 at 17:42 UTC to Friday, 18 February 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:
[2274] #ces2023,#finserv [2272] #cx,#women [2272] #women,#ehealth [2215] #ehealth,#data [2215] #data,#ces2023 [2211] #finserv,#fashiontech [2181] #iot,#iiot [2154] #datascientist,#digital [1890] #javascript,#reactjs [1663] #reactjs,#wordpress Top Word Pairs in Tweet in G1:
[240] #cx,#women [240] #women,#ehealth [240] #ces2023,#finserv [239] #finserv,#fashiontech [234] #ehealth,#data [234] #data,#ces2023 [212] #datascientist,#digital [211] chidambara09,#datascientist [139] #mwc22,#cx [133] #fashiontech,#insurte Top Word Pairs in Tweet in G2:
[16] virtual,sales [16] sales,saas [16] saas,insurtech [16] insurtech,hcm [10] #insurance,#insurtech [9] #javascript,#reactjs [9] #reactjs,#wordpress [9] #wordpress,#security [9] #security,#defi [8] learn,more Top Word Pairs in Tweet in G3:
[2159] #iot,#iiot [1870] #javascript,#reactjs [1643] #reactjs,#wordpress [1496] #wordpress,#security [1409] #pytorch,#javascript [1293] #security,#defi [1250] #ai,#iot [1242] #iiot,#pytorch [1203] #python,#ai [1071] #python,#iot Top Word Pairs in Tweet in G4:
[1279] #ces2023,#finserv [1277] #cx,#women [1277] #women,#ehealth [1249] #ehealth,#data [1249] #data,#ces2023 [1217] #finserv,#fashiontech [1208] #datascientist,#digital [818] #fashiontech,#insurtech [756] #digital,#cx [558] chidambara09,#datascientist Top Word Pairs in Tweet in G5:
[275] #robotics,#aiethics [271] #machinelearning,#ai [246] #aiethics,#machinelearning [189] sign,free [189] free,charge [151] charge,middlemen [151] middlemen,#robotics [114] #ai,#python [112] job,sign [108] #cx,#women Top Word Pairs in Tweet in G6:
[8] #insurtech,#fintech [5] million,#insurtech [4] #fintech,train [4] train,redéfinir [4] redéfinir,notre [4] notre,rapport [4] rapport,finances [4] finances,personnelles [4] personnelles,même [4] même,constat Top Word Pairs in Tweet in G7:
[31] meetyでウラ凸企画が始まりましたっ,こんな方はにオススメです [31] こんな方はにオススメです,fintech [31] fintech,insurtech [31] insurtech,baasがキニなる [31] baasがキニなる,大規模な購買データ分析したい [31] 大規模な購買データ分析したい,いつかヘッジファンドで働きたい [31] いつかヘッジファンドで働きたい,上場直後のスタートアップで働いてみたい [30] ryota,meetyでウラ凸企画が始まりましたっ Top Word Pairs in Tweet in G8:
[3] embedded,insurance [2] start,first [2] first,100 [2] 100,hires [2] hires,milestone [2] milestone,worthy [2] worthy,celebration [2] celebration,#insurtech [2] #insurtech,disrupter [2] disrupter,battleface Top Word Pairs in Tweet in G9:
[4] contamos,principales [4] principales,tendencias [4] tendencias,#insurtech [4] #insurtech,2022 [4] 2022,leelas [4] leelas,nuestra [4] nuestra,web [3] #insurtech,lemonade [3] lemonade,presume [3] presume,tener Top Word Pairs in Tweet in G10:
[7] insurers,using [7] using,tech [7] tech,drive [7] drive,differentiation [7] differentiation,growth [7] growth,during [7] during,uncertain [7] uncertain,times [7] times,infographic [7] infographic,gt 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 Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G6:
Top Mentioned in G7:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
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Top Tweeters in G5:
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Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: