The graph represents a network of 1,181 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 3/4/2023 5:00:36 PM. The network was obtained from Twitter on Sunday, 05 March 2023 at 02:42 UTC.
The tweets in the network were tweeted over the 1709-day, 10-hour, 35-minute period from Friday, 29 June 2018 at 14:25 UTC to Sunday, 05 March 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 : 1181
Unique Edges : 1572
Edges With Duplicates : 13334
Total Edges : 14906
Number of Edge Types : 9
Tweet : 230
Retweet : 3444
MentionsInRetweet : 5107
Mentions : 5743
MentionsInQuote : 145
MentionsInReplyTo : 136
Replies to : 45
Quote : 40
MentionsInQuoteReply : 16
Self-Loops : 3331
Reciprocated Vertex Pair Ratio : 0.0586295346280689
Reciprocated Edge Ratio : 0.110764970578055
Connected Components : 75
Single-Vertex Connected Components : 54
Maximum Vertices in a Connected Component : 1049
Maximum Edges in a Connected Component : 14671
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.240688
Graph Density : 0.00207307797184231
Modularity : 0.144619
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 1,181 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 3/4/2023 5:00:36 PM. The network was obtained from Twitter on Sunday, 05 March 2023 at 02:42 UTC.
The tweets in the network were tweeted over the 1709-day, 10-hour, 35-minute period from Friday, 29 June 2018 at 14:25 UTC to Sunday, 05 March 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:
[2818] #healthtech,#smartcity [2816] #vive2023,#healthtech [2807] #digitalhealth,#web3 [2800] #csuite,#digitalhealth [2784] #smartcity,#ata2023 [2784] #web3,#cx [2778] #datascientist,#csuite [2744] #ata2023,#datascientist [1747] chidambara09,#vive2023 [1258] #cx,#ehea Top Word Pairs in Tweet in G1:
[109] #ehealth,#finserv [104] enricomolinari,#chatgpt [99] #finserv,#fintech [91] #chatgpt,#marketing [89] #metaverse,gartner_inc [89] enricomolinari,#ehealth [87] #marketing,#ehealth [84] time,wef [84] speech,time [84] transcribe,speech Top Word Pairs in Tweet in G2:
[285] #fintech,#finserv [190] #healthtech,#smartcity [190] #vive2023,#healthtech [189] #smartcity,#ata2023 [189] #csuite,#digitalhealth [188] #web3,#cx [188] #digitalhealth,#web3 [187] #datascientist,#csuite [186] chidambara09,#vive2023 [186] #ata2023,#datascientist Top Word Pairs in Tweet in G3:
[2587] #healthtech,#smartcity [2585] #vive2023,#healthtech [2578] #digitalhealth,#web3 [2570] #csuite,#digitalhealth [2560] #web3,#cx [2554] #smartcity,#ata2023 [2550] #datascientist,#csuite [2517] #ata2023,#datascientist [1525] chidambara09,#vive2023 [1078] #cx,#ehealth Top Word Pairs in Tweet in G4:
[28] business,models [27] interoperability,api [27] approach,business [27] cooperation,fintech [27] api,cooperation [27] potential,interoperability [27] banks,approach [27] exploiting,potential [25] models,exploiting [23] #finserv,#fintech Top Word Pairs in Tweet in G5:
[183] #iot,#iiot [177] #javascript,#reactjs [176] #python,#iot [164] #iiot,#pytorch [157] #reactjs,#wordpress [128] #wordpress,#security [114] #security,#defi [86] #pytorch,#javascript [75] #html,#azure [75] #mlops,#flutter Top Word Pairs in Tweet in G6:
[34] #technology,#nftcommunity [17] #nftcommunity,#techforgood [17] #web3,#iot [17] #techforgood,#internetofthings [17] #eth,#btc [17] #nfts,#technology [17] #web3,#nfts [17] #ethereum,#eth [17] #arkinvest,#trading [17] #lunc,#cloud Top Word Pairs in Tweet in G7:
[15] financial,services [8] banking,finance's [8] leaders,dialogue [8] akamai,asian [8] finance's,webinar [8] webinar,cyber [8] services,discover [8] cyber,leaders [8] join,akamai [8] dialogue,financial Top Word Pairs in Tweet in G8:
[7] jpnicols,daily [7] daily,newsfeed [7] leadership,#fintech [7] innovation,strategy [7] newsfeed,innovation [7] strategy,leadership [7] reading,jpnicols [6] #fintech,#finserv [6] #finserv,stories [4] snapchat,account Top Word Pairs in Tweet in G9:
[9] momentum,depends [9] keeping,#apac's [9] strong,governmental [9] public,private [9] depends,public [9] instant,payments [9] payments,momentum [9] #apac's,instant [9] governmental,support [9] collaboration,strong Top Word Pairs in Tweet in G10:
[30] #cashmaster,#cashfags [28] #cashfags,#cashdrain [9] fagtax,money [9] choked,arms [9] serving,fagtax [9] money,#cashmaster [9] being,choked [9] picture,yourself [9] yourself,being [9] arms,serving Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G5:
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: