The graph represents a network of 1,562 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, 10 April 2022 at 01:41 UTC.
The requested start date was Sunday, 10 April 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 3-day, 0-hour, 21-minute period from Monday, 04 April 2022 at 10:01 UTC to Thursday, 07 April 2022 at 10:22 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 : 1562
Unique Edges : 3040
Edges With Duplicates : 18892
Total Edges : 21932
Number of Edge Types : 5
Retweet : 6475
MentionsInRetweet : 11172
Mentions : 3952
Replies to : 120
Tweet : 213
Self-Loops : 746
Reciprocated Vertex Pair Ratio : 0.0538062283737024
Reciprocated Edge Ratio : 0.102117878837629
Connected Components : 66
Single-Vertex Connected Components : 56
Maximum Vertices in a Connected Component : 1482
Maximum Edges in a Connected Component : 21888
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.16607
Graph Density : 0.00249807036265699
Modularity : 0.194664
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 1,562 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, 10 April 2022 at 01:41 UTC.
The requested start date was Sunday, 10 April 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 3-day, 0-hour, 21-minute period from Monday, 04 April 2022 at 10:01 UTC to Thursday, 07 April 2022 at 10:22 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:
[2969] #iot,#iiot [2753] #python,#iot [2552] #javascript,#reactjs [2416] #iiot,#pytorch [2212] #reactjs,#wordpress [1889] #wordpress,#security [1435] #security,#defi [1311] #pytorch,#javascript [1175] #women,#ehealth [1147] #ehealth,#ces2023 Top Word Pairs in Tweet in G1:
[331] #fintech,#finserv [150] citi,enricomolinari [119] #healthtech,#datascientist [118] #women,#ehealth [116] #ehealth,#ces2023 [115] #cx,#women [114] chidambara09,#healthtech [110] #digitalhealth,#cloud [107] #cloud,#cx [105] #ces2023,#finservâ Top Word Pairs in Tweet in G2:
[999] #women,#ehealth [973] #ehealth,#ces2023 [972] #cx,#women [953] #healthtech,#datascientist [824] #digitalhealth,#cloud [797] #cloud,#cx [541] #ai,#digitalhealth [528] #iot,#ai [527] #datascientist,#iot [520] chidambara09,#healthtech Top Word Pairs in Tweet in G3:
[2527] #iot,#iiot [2306] #python,#iot [2173] #javascript,#reactjs [2046] #iiot,#pytorch [1889] #reactjs,#wordpress [1621] #wordpress,#security [1228] #security,#defi [1124] #pytorch,#javascript [749] #defi,#ad [600] #ai,#iot Top Word Pairs in Tweet in G4:
[20] #fintech,#finserv [7] #finserv,#finance [6] #blockchain,financial [6] computers,push [6] partnership,stratorob [6] #finserv,#banking [5] #ai,enabled [5] enabled,risk [5] risk,decisioning [5] decisioning,becomes Top Word Pairs in Tweet in G5:
[2] proactive,customer [2] customer,service [2] service,look [2] look,#finserv [2] #finserv,brands [2] brands,whether [2] whether,itâ [2] itâ,providing [2] providing,frictionless [2] frictionless,payment Top Word Pairs in Tweet in G6:
[18] #fintech,#banking [14] #innovation,#fintech [12] #finserv,#payments [11] #openbanking,#openapis [9] #openapis,#finserv [6] #banking,#finserv [5] #ux,#cx [5] #banking,#ecommerce [5] #payments,#loans [4] #finserv,#corebanking Top Word Pairs in Tweet in G7:
[2] #remoteworking,london [2] london,based [2] based,#startup [2] #startup,deskless [2] deskless,workers [2] workers,sonaatwork [2] sonaatwork,grabs [2] grabs,8m [2] 8m,funding [2] funding,continue Top Word Pairs in Tweet in G8:
[4] #finserv,pro [4] pro,facing [4] facing,complex [4] complex,intersection [4] intersection,#security [4] #security,#banking [4] #banking,verint [4] verint,secmgmtmag [4] secmgmtmag,#feedback [4] #feedback,brief Top Word Pairs in Tweet in G9:
[8] open,source [8] source,finance [8] finance,forum [7] act,fast [7] fast,submit [7] submit,speak [7] speak,open [7] forum,london [7] london,#finserv [7] #finserv,industry Top Word Pairs in Tweet in G10:
[5] bristowcolin,insurtechforum [5] insurtechforum,arundr26 [5] arundr26,regulate [5] regulate,monitor [5] monitor,fintech [5] fintech,company [5] company,under [5] under,strict [5] strict,law [5] law,rbi 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 G6:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
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: