The graph represents a network of 1,420 Twitter users whose recent tweets contained "#FinServ", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 3/18/2023 5:00:35 PM. The network was obtained from Twitter on Sunday, 19 March 2023 at 01:42 UTC.
The tweets in the network were tweeted over the 1825-day, 15-hour, 18-minute period from Monday, 19 March 2018 at 08:30 UTC to Saturday, 18 March 2023 at 23:49 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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 : 1420
Unique Edges : 1944
Edges With Duplicates : 13967
Total Edges : 15911
Number of Edge Types : 8
Tweet : 214
Retweet : 3677
MentionsInRetweet : 6035
Mentions : 5600
MentionsInReplyTo : 211
Replies to : 22
MentionsInQuote : 130
Quote : 22
Self-Loops : 2316
Reciprocated Vertex Pair Ratio : 0.048120728929385
Reciprocated Edge Ratio : 0.0918228742189622
Connected Components : 37
Single-Vertex Connected Components : 20
Maximum Vertices in a Connected Component : 1286
Maximum Edges in a Connected Component : 15632
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.143701
Graph Density : 0.00182681713962421
Modularity : 0.158038
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 1,420 Twitter users whose recent tweets contained "#FinServ", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 3/18/2023 5:00:35 PM. The network was obtained from Twitter on Sunday, 19 March 2023 at 01:42 UTC.
The tweets in the network were tweeted over the 1825-day, 15-hour, 18-minute period from Monday, 19 March 2018 at 08:30 UTC to Saturday, 18 March 2023 at 23:49 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
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:
[1648] #healthtech,#smartcity [1640] #datascientist,#csuite [1639] #csuite,#digitalhealth [1637] #digitalhealth,#web3 [1636] #web3,#cx [1633] #vive2023,#healthtech [1415] #dataviz,#datascientist [1415] #smartcity,#dataviz [1012] chidambara09,#vive2023 [854] #cx,#ehe Top Word Pairs in Tweet in G1:
[262] #fintech,#finserv [216] enricomolinari,#marketing [208] #marketing,#finserv [196] #finserv,#fintech [194] #healthtech,#smartcity [192] #vive2023,#healthtech [192] #dataviz,#datascientist [192] #smartcity,#dataviz [192] #datascientist,#csuite [191] #csuite,#digitalhealth Top Word Pairs in Tweet in G2:
[1337] #healthtech,#smartcity [1333] #datascientist,#csuite [1333] #csuite,#digitalhealth [1331] #digitalhealth,#web3 [1330] #web3,#cx [1327] #vive2023,#healthtech [1118] #dataviz,#datascientist [1118] #smartcity,#dataviz [706] chidambara09,#vive2023 [700] #cx,#ehealth Top Word Pairs in Tweet in G3:
[201] #fintech,#finserv [60] #finserv,#banking [52] ralexjimenez,finmktg [47] efipm,xbond49 [47] bristowcolin,ursbolt [47] clagett,bristowcolin [47] ursbolt,efipm [47] #finserv,ralexjimenez [47] damien_cabadi,clagett [47] finmktg,damien_cabadi Top Word Pairs in Tweet in G4:
[54] #fintech,#finserv [46] #fintech,#banking [39] #innovation,#fintech [27] #finserv,#banking [20] #banking,#openbanking [13] #banking,#finserv [13] #openapis,#finserv [11] #openbanking,#openapis [10] #finserv,#payments [10] #cloud,#saas Top Word Pairs in Tweet in G5:
[103] psb_dc,betamoroney [99] #healthtech,#smartcity [99] #finserv,psb_dc [98] #smartcity,#dataviz [98] #dataviz,#datascientist [97] #datascientist,#csuite [97] chidambara09,#vive2023 [97] #web3,#cx [97] #csuite,#digitalhealth [97] #digitalhealth,#web3 Top Word Pairs in Tweet in G6:
[88] #fintech,#finserv [75] #finserv,#banking [17] ambcrypto,#payments [17] 18,growth [17] remittances,ambcrypto [17] #banking,#mst [17] moneygram,notes [17] growth,digital [17] ripplenet,member [17] notes,18 Top Word Pairs in Tweet in G7:
[18] plans,ripple [18] turnkey,solution [18] institutions,enterprises [18] ripple,liquidity [18] announced,plans [18] hear,announced [18] hub,turnkey [18] #finserv,institutions [18] liquidity,hub [18] solution,#finserv Top Word Pairs in Tweet in G8:
[63] #cashmaster,#cashfags [62] #cashfags,#cashdrain [28] #fagtax,#fagatm [24] #cashdrain,#cashsubs [22] #findom,#findomgod [20] #finserv,#findom [19] #fagatm,#finserv [16] #cashdrain,#cashcunts [16] #cashcunts,#cashcow [16] #cashcow,#cashsub Top Word Pairs in Tweet in G9:
[4] co,ddwrqfjafm [3] co,ouvkbk1uc2 [3] #javascript,#reactjs [2] dil_3,trq48 [2] unbelievable,listen [2] arif1q,_esha_2 [2] _paro1,afd8_ [2] bn_gsh2,anthony43656765 [2] listen,retweet [2] aimach0,1mliik Top Word Pairs in Tweet in G10:
[3] #innovation,#iot [3] #cloudcomputing,#fintech [3] #news,#future [3] #digital,#telecommunication [3] #iot,#tech [3] #crypto,#blockchaintechnology [3] #tech,#security [3] #security,#news [3] #finserv,#fintechnews [3] #fintech,#finserv 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 G5:
Top Replied-To in G9:
Top Replied-To in G10:
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: