The graph represents a network of 1,859 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, 24 April 2022 at 02:01 UTC.
The requested start date was Sunday, 24 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 5-day, 15-hour, 35-minute period from Monday, 18 April 2022 at 08:25 UTC to Sunday, 24 April 2022 at 00:00 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 : 1859
Unique Edges : 4351
Edges With Duplicates : 18293
Total Edges : 22644
Number of Edge Types : 5
Mentions : 4815
MentionsInRetweet : 11211
Retweet : 6156
Replies to : 140
Tweet : 322
Self-Loops : 890
Reciprocated Vertex Pair Ratio : 0.0452154130527513
Reciprocated Edge Ratio : 0.0865188409740171
Connected Components : 45
Single-Vertex Connected Components : 25
Maximum Vertices in a Connected Component : 1765
Maximum Edges in a Connected Component : 22481
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.067361
Graph Density : 0.00212824353753392
Modularity : 0.213919
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 1,859 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, 24 April 2022 at 02:01 UTC.
The requested start date was Sunday, 24 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 5-day, 15-hour, 35-minute period from Monday, 18 April 2022 at 08:25 UTC to Sunday, 24 April 2022 at 00:00 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 : #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:
[1723] #iot,#iiot [1560] #python,#iot [1459] #iiot,#pytorch [1351] #iot,#ai [1348] #women,#ehealth [1347] #cx,#women [1344] #javascript,#reactjs [1343] #healthtech,#datascientist [1331] #datascientist,#iot [1327] #ehealth,#ces2023 Top Word Pairs in Tweet in G1:
[314] #fintech,#finserv [288] #iot,#ai [259] #healthtech,#datascientist [259] #women,#ehealth [257] #cx,#women [254] #datascientist,#iot [253] #ehealth,#ces2023 [251] #ai,#digitalhealth [245] chidambara09,#healthtech [165] #digitalhealth,#startups Top Word Pairs in Tweet in G2:
[990] #cx,#women [989] #women,#ehealth [982] #healthtech,#datascientist [977] #ehealth,#ces2023 [976] #datascientist,#iot [963] #ai,#digitalhealth [958] #iot,#ai [718] #digitalhealth,#startups [718] #startups,#cx [607] #ces2023,#finserv Top Word Pairs in Tweet in G3:
[1670] #iot,#iiot [1509] #python,#iot [1418] #iiot,#pytorch [1309] #javascript,#reactjs [1054] #reactjs,#wordpress [752] #wordpress,#security [642] #security,#defi [560] #fintech,#insurtech [504] #pytorch,#javascript [317] #pytorch,#eth Top Word Pairs in Tweet in G4:
[12] financial,services [11] fintech,startups [11] startups,giving [11] giving,financial [11] financial,operators [11] operators,hard [11] hard,time [11] time,thanks [11] thanks,flexible [11] flexible,rapid Top Word Pairs in Tweet in G5:
[20] #fintech,#banking [17] #innovation,#fintech [11] #finserv,#payments [6] #banking,#digitalbanking [5] #banking,#ecommerce [5] #payments,#digitalpayments [5] #openbanking,#finserv [5] #openbanking,#openapis [5] #ux,#cx [5] #digitalbanking,#neobanks Top Word Pairs in Tweet in G6:
[29] #defi,#finserv [27] #chaingetheworld,#defi [21] something,big [21] big,happen [21] happen,financechainge [21] financechainge,cross [21] cross,chain [21] chain,liquidity [21] liquidity,aggregator [21] aggregator,#chaingetheworld Top Word Pairs in Tweet in G7:
[5] #fintech,#finserv [3] #excelsecurities,#financialadvisor [3] sure,diy [3] diy,home [3] home,renos [3] renos,craft [3] craft,projects [3] projects,comes [3] comes,creating [3] creating,#incidentresponse Top Word Pairs in Tweet in G8:
[4] london,based [2] tfnbreakingnews,#remoteworking [2] #remoteworking,london [2] based,#startup [2] #startup,deskless [2] deskless,workers [2] workers,sonaatwork [2] sonaatwork,grabs [2] grabs,8m [2] 8m,funding Top Word Pairs in Tweet in G9:
[5] reading,jpnicols [5] jpnicols,daily [5] daily,newsfeed [5] newsfeed,#innovation [5] #innovation,#strategy [5] #strategy,#leadership [4] #leadership,#fintech [4] #fintech,#finserv [4] #finserv,stories [2] stories,finovate Top Word Pairs in Tweet in G10:
[4] analysts,sustainabledfs [4] sustainabledfs,explore [3] #financialservices,providers [3] lbsnigeria,ydavidwest [2] looking,make [2] make,#socialimpact [2] #socialimpact,check [2] check,nextbillion's [2] nextbillion's,jobs [2] jobs,board Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
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: