The graph represents a network of 1,476 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 2/4/2023 5:00:35 PM. The network was obtained from Twitter on Sunday, 05 February 2023 at 02:44 UTC.
The tweets in the network were tweeted over the 1648-day, 10-hour, 55-minute period from Wednesday, 01 August 2018 at 14:01 UTC to Sunday, 05 February 2023 at 00:56 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 : 1476
Unique Edges : 1949
Edges With Duplicates : 12770
Total Edges : 14719
Number of Edge Types : 8
Retweet : 3529
MentionsInRetweet : 5284
Tweet : 289
Mentions : 4972
MentionsInReplyTo : 482
Quote : 63
MentionsInQuote : 35
Replies to : 65
Self-Loops : 2491
Reciprocated Vertex Pair Ratio : 0.0598987626546682
Reciprocated Edge Ratio : 0.113027328203768
Connected Components : 50
Single-Vertex Connected Components : 21
Maximum Vertices in a Connected Component : 1344
Maximum Edges in a Connected Component : 14460
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.206265
Graph Density : 0.00173120205778329
Modularity : 0.170257
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 1,476 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 2/4/2023 5:00:35 PM. The network was obtained from Twitter on Sunday, 05 February 2023 at 02:44 UTC.
The tweets in the network were tweeted over the 1648-day, 10-hour, 55-minute period from Wednesday, 01 August 2018 at 14:01 UTC to Sunday, 05 February 2023 at 00:56 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:
[1940] #healthtech,#smartcity [1932] #digitalhealth,#web3 [1932] #csuite,#digitalhealth [1931] #web3,#cx [1929] #datascientist,#csuite [1923] #cx,#ehealth [1902] #smartcity,#5g [1898] #5g,#datascientist [1877] #vive2023,#healthtech [1281] chidambara09,#vive2023 Top Word Pairs in Tweet in G1:
[243] #fintech,#finserv [214] #healthtech,#smartcity [212] #csuite,#digitalhealth [212] #digitalhealth,#web3 [212] #web3,#cx [212] #vive2023,#healthtech [212] #datascientist,#csuite [211] #cx,#ehealth [210] #smartcity,#5g [210] #5g,#datascientist Top Word Pairs in Tweet in G2:
[1658] #healthtech,#smartcity [1653] #digitalhealth,#web3 [1653] #csuite,#digitalhealth [1652] #web3,#cx [1650] #datascientist,#csuite [1645] #cx,#ehealth [1627] #smartcity,#5g [1623] #5g,#datascientist [1601] #vive2023,#healthtech [1009] chidambara09,#vive2023 Top Word Pairs in Tweet in G3:
[105] enricomolinari,#marketing [104] #marketing,#payments [70] #fintech,#finserv [66] #payments,#fintech [48] #finserv,#marketing [43] enricomolinari,#infographic [40] domotalk,enricomolinari [40] #marketing,#insurtech [37] #finserv,#fintech [35] #infographic,90 Top Word Pairs in Tweet in G4:
[112] #fintech,#finserv [83] #finserv,#banking [43] growth,digital [43] digital,remittances [43] member,moneygram [43] moneygram,notes [43] ambcrypto,#payments [43] 18,growth [43] notes,18 [43] ripplenet,member Top Word Pairs in Tweet in G5:
[44] #apac's,instant [44] private,collaboration [44] public,private [44] collaboration,strong [44] governmental,support [44] payments,momentum [44] strong,governmental [44] momentum,depends [44] keeping,#apac's [44] instant,payments Top Word Pairs in Tweet in G6:
[23] financial,services [16] #finserv,#fintech [13] embrace,fintechs [13] seeing,competitors [12] antgrasso,#finserv [10] financial,institutions [10] customer,experience [8] fintechs,better [8] competitors,banks [8] better,collaboration Top Word Pairs in Tweet in G7:
[86] #corpgov,#salesforce [84] #finserv,#csr [84] #csr,#csuite [83] #hrtech,#corpgov [83] #salesforce,#finserv [46] #csuite,#salesforce [39] #crm,#sales [34] #futureofwork,#shrm [33] #shrm,#fintech [33] #futureofwork,#humanresources Top Word Pairs in Tweet in G8:
[26] #digitalassets,#finserv [21] #trading,#blockchain [19] #finserv,#xrp [18] #cryptonews,#shib [18] #xrp,#cryptonews [17] #xrph,#btc [17] #shib,#xtp [17] #altcoins,#ethereum [17] #blockchain,#altcoins [17] #ethereum,#xrph Top Word Pairs in Tweet in G9:
[67] #ai,#nfts [67] #fintech,#tech [67] #tech,#ai [66] #cryptocurrency,#finserv [66] #nfts,#cryptocurrency [64] #finserv,#eth [63] #eth,#digital [61] #digital,#datascience [59] #datascience,#bigdata [37] #bigdata,#analytics Top Word Pairs in Tweet in G10:
[21] #fintech,#finserv [14] #finance,#fintech [11] digital,transformation [10] jpnicols,daily [10] strategy,leadership [10] innovation,strategy [10] reading,jpnicols [10] leadership,#fintech [10] newsfeed,innovation [10] daily,newsfeed 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 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: