The graph represents a network of 1,385 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 1/14/2023 5:00:35 PM. The network was obtained from Twitter on Sunday, 15 January 2023 at 02:46 UTC.
The tweets in the network were tweeted over the 1762-day, 16-hour, 28-minute period from Monday, 19 March 2018 at 08:30 UTC to Sunday, 15 January 2023 at 00:58 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 : 1385
Unique Edges : 1531
Edges With Duplicates : 13247
Total Edges : 14778
Number of Edge Types : 9
Retweet : 3480
MentionsInRetweet : 4972
Mentions : 5458
Replies to : 52
MentionsInReplyTo : 324
MentionsInQuoteReply : 6
Tweet : 246
Quote : 113
MentionsInQuote : 127
Self-Loops : 3079
Reciprocated Vertex Pair Ratio : 0.0627041149575441
Reciprocated Edge Ratio : 0.1180086047941
Connected Components : 29
Single-Vertex Connected Components : 14
Maximum Vertices in a Connected Component : 1336
Maximum Edges in a Connected Component : 14688
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.306468
Graph Density : 0.00169758560964921
Modularity : 0.144248
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 1,385 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 1/14/2023 5:00:35 PM. The network was obtained from Twitter on Sunday, 15 January 2023 at 02:46 UTC.
The tweets in the network were tweeted over the 1762-day, 16-hour, 28-minute period from Monday, 19 March 2018 at 08:30 UTC to Sunday, 15 January 2023 at 00:58 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:
[2066] #healthtech,#smartcity [2065] #datascientist,#csuite [2064] #digitalhealth,#web3 [2063] #csuite,#digitalhealth [2060] #cx,#ehealth [2060] #web3,#cx [2059] #ehealth,#finserv [1650] #smartcity,#5g [1646] #5g,#datascientist [1198] chidambara09,#healthtech Top Word Pairs in Tweet in G1:
[2009] #healthtech,#smartcity [2008] #csuite,#digitalhealth [2008] #digitalhealth,#web3 [2008] #datascientist,#csuite [2005] #ehealth,#finserv [2005] #cx,#ehealth [2005] #web3,#cx [1624] #smartcity,#5g [1620] #5g,#datascientist [1144] chidambara09,#healthtech Top Word Pairs in Tweet in G2:
[116] #fintech,#finserv [69] #blockchain,#tech [66] #fintech,#banking [60] betamoroney,efipm [60] psb_dc,betamoroney [59] brettking,spirosmargaris [59] efipm,brettking [56] #tech,#finserv [52] #bitcoin,#blockchain [50] #finserv,psb_dc Top Word Pairs in Tweet in G3:
[131] #fintech,#finserv [88] #marketing,#fintech [58] #vr,#marketing [54] #finserv,#ces [54] enricomolinari,#vr [53] #fintech,#insurtech [53] techtarget,enricomolinari [51] #ces,#ces2023 [44] #insurtech,#finserv [42] #finserv,#marketing Top Word Pairs in Tweet in G4:
[45] #finance,#finserv [23] #digitaltransformation,#fintech [22] #fintech,#finserv [21] #datascientist,#csuite [21] #ehealth,#finserv [21] chidambara09,#healthtech [21] #web3,#cx [21] #healthtech,#smartcity [21] #csuite,#digitalhealth [21] #digitalhealth,#web3 Top Word Pairs in Tweet in G5:
[57] #apac's,instant [57] payments,momentum [57] private,collaboration [57] keeping,#apac's [57] support,around [57] momentum,depends [57] strong,governmental [57] public,private [57] governmental,support [57] instant,payments Top Word Pairs in Tweet in G6:
[56] remittances,ambcrypto [56] notes,18 [56] 18,growth [56] ambcrypto,#payments [56] moneygram,notes [56] member,moneygram [56] ripplenet,member [56] growth,digital [56] digital,remittances [55] ralexjimenez,ripplenet Top Word Pairs in Tweet in G7:
[26] financial,services [17] #finserv,#fintech [15] express,order [15] adoption,financial [15] order,importance [15] abcde,letters [15] technology,adoption [15] importance,case [15] case,technology [15] letters,express Top Word Pairs in Tweet in G8:
[25] #fintech,#finserv [18] #finance,#fintech [11] #finserv,#blockchain [9] #finance,#finserv [7] #finserv,#innovation [7] #digitaltransformation,#fintech [7] banks,seek [7] seek,#digitaltransformation [7] banking,#finance [7] #fintech,collaborations Top Word Pairs in Tweet in G9:
[50] #fintech,#finserv [25] ralexjimenez,finmktg [25] ursbolt,efipm [25] #finserv,ralexjimenez [25] bristowcolin,ursbolt [25] clagett,bristowcolin [25] xbond49,insurtechforum [25] damien_cabadi,clagett [25] efipm,xbond49 [25] finmktg,damien_cabadi Top Word Pairs in Tweet in G10:
[58] #iot,#iiot [57] #iiot,#pytorch [56] #javascript,#reactjs [55] #python,#iot [29] #100daysofcode,#cybersecurity [29] #cybersecurity,#python [28] #reactjs,#wordpress [24] #wordpress,#security [22] #security,#defi [19] troll,patrol 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 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: