The graph represents a network of 1,972 Twitter users whose tweets in the requested range contained "#FinServ", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 08 May 2022 at 01:51 UTC.
The requested start date was Sunday, 08 May 2022 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 5-day, 12-hour, 45-minute period from Monday, 02 May 2022 at 10:56 UTC to Saturday, 07 May 2022 at 23:42 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 : 1972
Unique Edges : 3589
Edges With Duplicates : 18239
Total Edges : 21828
Number of Edge Types : 5
Mentions : 4712
Retweet : 6266
Tweet : 408
MentionsInRetweet : 10363
Replies to : 79
Self-Loops : 864
Reciprocated Vertex Pair Ratio : 0.0394417475728155
Reciprocated Edge Ratio : 0.0758902510215995
Connected Components : 81
Single-Vertex Connected Components : 65
Maximum Vertices in a Connected Component : 1858
Maximum Edges in a Connected Component : 21715
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.078388
Graph Density : 0.00176288433811566
Modularity : 0.205307
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 1,972 Twitter users whose tweets in the requested range contained "#FinServ", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 08 May 2022 at 01:51 UTC.
The requested start date was Sunday, 08 May 2022 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 5-day, 12-hour, 45-minute period from Monday, 02 May 2022 at 10:56 UTC to Saturday, 07 May 2022 at 23:42 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 : #FinServ
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:
[1259] #iot,#iiot [1029] #cx,#women [1021] #healthtech,#datascientist [1001] #javascript,#reactjs [998] #women,#ehealth [979] #ehealth,#ces2023 [968] #fintech,#insurtech [907] #reactjs,#wordpress [827] #fintech,#finserv [823] #python,#iot Top Word Pairs in Tweet in G1:
[862] #cx,#women [855] #healthtech,#datascientist [842] #women,#ehealth [827] #ehealth,#ces2023 [668] #digitalhealth,#startups [668] #startups,#cx [509] chidambara09,#healthtech [467] #iot,#ai [453] #ai,#digitalhealth [449] #datascientist,#iot Top Word Pairs in Tweet in G2:
[261] #fintech,#insurtech [203] #iot,#iiot [198] #business,#investing [192] #python,#iot [187] #insurtech,#finserv [186] #finserv,#marketing [184] #fintech,#finserv [180] #investing,#digital [172] #javascript,#reactjs [168] #web3,#technology Top Word Pairs in Tweet in G3:
[842] #iot,#iiot [795] #javascript,#reactjs [727] #reactjs,#wordpress [612] #wordpress,#security [604] #python,#iot [591] #security,#defi [576] #iiot,#pytorch [443] #pytorch,#javascript [434] #fintech,#insurtech [349] #ai,#iot Top Word Pairs in Tweet in G4:
[50] way,pay [50] pay,purchases [50] purchases,transformed [50] transformed,over [50] over,past [50] past,year [50] year,keeping [50] keeping,top [50] top,changing [50] changing,market Top Word Pairs in Tweet in G5:
[80] #marketing,#fintech [80] #fintech,#finserv [65] #finserv,#blockchain [65] #blockchain,#tech [65] #tech,#security [62] lucas_gool,retweet [62] #security,#web3 [33] retweet,fsn [33] fsn,10 [33] 10,future Top Word Pairs in Tweet in G6:
[4] #fintech,#finserv [4] #brentwoodfinancial,#financialwellness [4] #financialwellness,#assetmanagement [3] financial,services [3] #excelsecurities,#financialadvisor [3] #financialadvisor,#brokerdealer [3] #brokerdealer,#financialservices [3] financial,advisors [3] #digital,#techforgood [3] #assetmanagement,#financialadvice Top Word Pairs in Tweet in G7:
[39] #digitalhealth,#startups [39] #startups,#cx [39] #cx,#women [38] #healthtech,#datascientist [35] #women,#ehealth [34] chidambara09,#healthtech [34] #ehealth,#ces2023 [29] #datascientist,#iot [29] #iot,#ai [29] #ai,#digitalhealth Top Word Pairs in Tweet in G8:
[10] stratorob,bentley [10] bentley,university [10] university,accepting [10] accepting,#cryptocurrency [10] #cryptocurrency,tuition [10] tuition,payments [10] payments,markselinger [10] markselinger,modernb2b [10] modernb2b,th [4] #fintech,#insurtech Top Word Pairs in Tweet in G9:
[4] treat,husband [4] husband,colleagues [4] colleagues,deloitteus [4] deloitteus,experience [4] experience,amazingness [4] amazingness,carlaannharris [4] iâ,inspired [4] inspired,work [4] work,others [4] others,untold Top Word Pairs in Tweet in G10:
[6] work,financial [6] financial,#pr [6] #pr,looking [6] looking,join [6] join,dynamic [6] dynamic,team [6] team,#publicrelations [6] #publicrelations,pros [6] pros,love [6] love,clients 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 G5:
Top Replied-To in G7:
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: