The graph represents a network of 1,218 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 2/11/2023 5:00:56 PM. The network was obtained from Twitter on Sunday, 12 February 2023 at 02:42 UTC.
The tweets in the network were tweeted over the 1790-day, 16-hour, 29-minute period from Monday, 19 March 2018 at 08:30 UTC to Sunday, 12 February 2023 at 01:00 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 : 1218
Unique Edges : 1794
Edges With Duplicates : 13414
Total Edges : 15208
Number of Edge Types : 9
Retweet : 3426
MentionsInRetweet : 5351
Tweet : 311
Mentions : 5597
MentionsInReplyTo : 333
MentionsInQuote : 104
Replies to : 40
Quote : 42
MentionsInQuoteReply : 4
Self-Loops : 2943
Reciprocated Vertex Pair Ratio : 0.0621947248453273
Reciprocated Edge Ratio : 0.117106069895769
Connected Components : 34
Single-Vertex Connected Components : 21
Maximum Vertices in a Connected Component : 1142
Maximum Edges in a Connected Component : 14997
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.129301
Graph Density : 0.00220062524202155
Modularity : 0.145366
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 1,218 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 2/11/2023 5:00:56 PM. The network was obtained from Twitter on Sunday, 12 February 2023 at 02:42 UTC.
The tweets in the network were tweeted over the 1790-day, 16-hour, 29-minute period from Monday, 19 March 2018 at 08:30 UTC to Sunday, 12 February 2023 at 01:00 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:
[2190] #healthtech,#smartcity [2189] #csuite,#digitalhealth [2187] #smartcity,#5g [2185] #datascientist,#csuite [2183] #5g,#datascientist [2181] #digitalhealth,#web3 [2180] #vive2023,#healthtech [2177] #web3,#cx [2175] #cx,#ehealth [1393] chidambara09,#vive2023 Top Word Pairs in Tweet in G1:
[1814] #csuite,#digitalhealth [1814] #healthtech,#smartcity [1812] #smartcity,#5g [1811] #datascientist,#csuite [1809] #digitalhealth,#web3 [1809] #5g,#datascientist [1806] #web3,#cx [1805] #cx,#ehealth [1804] #vive2023,#healthtech [1023] chidambara09,#vive2023 Top Word Pairs in Tweet in G2:
[368] #fintech,#finserv [218] #healthtech,#smartcity [218] #vive2023,#healthtech [217] #csuite,#digitalhealth [217] #smartcity,#5g [217] #5g,#datascientist [217] #datascientist,#csuite [216] #cx,#ehealth [216] #digitalhealth,#web3 [216] chidambara09,#vive2023 Top Word Pairs in Tweet in G3:
[113] #fintech,#finserv [79] enricomolinari,#marketing [70] #marketing,#fintech [40] #finserv,#fintech [35] #marketing,#payments [35] visualcap,enricomolinari [34] #ehealth,#finserv [33] #payments,#ehealth [33] #finserv,#insurtech [33] bcc_council,enricomolinari Top Word Pairs in Tweet in G4:
[149] #smartcity,#5g [149] #healthtech,#smartcity [149] #csuite,#digitalhealth [149] #vive2023,#healthtech [148] #datascientist,#csuite [148] #5g,#datascientist [147] #digitalhealth,#web3 [146] #web3,#cx [145] chidambara09,#vive2023 [145] #cx,#ehealth Top Word Pairs in Tweet in G5:
[87] #fintech,#finserv [68] #finserv,#banking [24] growth,digital [24] digital,remittances [24] member,moneygram [24] moneygram,notes [24] ambcrypto,#payments [24] 18,growth [24] notes,18 [24] ripplenet,member Top Word Pairs in Tweet in G6:
[88] psb_dc,betamoroney [87] #blockchain,#tech [83] #finserv,psb_dc [72] #tech,#finserv [72] betamoroney,efipm [65] brettking,spirosmargaris [64] spirosmargaris,mikeflache [61] efipm,brettking [45] #business,#blockchain [44] #finserv,#money Top Word Pairs in Tweet in G7:
[26] momentum,depends [26] keeping,#apac's [26] strong,governmental [26] public,private [26] depends,public [26] instant,payments [26] payments,momentum [26] #apac's,instant [26] governmental,support [26] collaboration,strong Top Word Pairs in Tweet in G8:
[50] #technology,#nftcommunity [37] #web3,#nfts [36] #blockchain,#ethereum [36] #eth,#btc [36] #trading,#blockchain [36] #bigeyescoin,#web3 [36] #digitalassets,#finserv [36] #cryptonews,#arkinvest [36] #arkinvest,#trading [36] #ethereum,#eth Top Word Pairs in Tweet in G9:
[56] #digitalassets,#finserv [51] #finserv,#lunc [39] #lunc,#cryptonews [38] #trading,#blockchain [38] #ethereum,#eth [38] #eth,#btc [32] #lunaclassic,#ethereum [32] #cryptonews,#arkinvest [32] #arkinvest,#trading [32] #blockchain,#lunaclassic Top Word Pairs in Tweet in G10:
[20] #fintech,#finserv [16] fintech,daily [13] daily,thanks [8] latest,fintech [6] growth,fintech [6] latest,growth [4] paper,stories [4] #datascientist,#csuite [4] #digitalhealth,#web3 [4] #healthtech,#smartcity 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 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: