The graph represents a network of 7,262 Twitter users whose recent tweets contained "#FinTech", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Saturday, 24 September 2022 at 06:58 UTC.
The tweets in the network were tweeted over the 1-day, 18-hour, 0-minute period from Thursday, 22 September 2022 at 10:58 UTC to Saturday, 24 September 2022 at 04:59 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
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 : 7262
Unique Edges : 17545
Edges With Duplicates : 21442
Total Edges : 38987
Number of Edge Types : 5
MentionsInRetweet : 15895
Mentions : 5208
Retweet : 13593
Tweet : 3582
Replies to : 709
Self-Loops : 3907
Reciprocated Vertex Pair Ratio : 0.0344489635909247
Reciprocated Edge Ratio : 0.0666035054476551
Connected Components : 818
Single-Vertex Connected Components : 452
Maximum Vertices in a Connected Component : 5522
Maximum Edges in a Connected Component : 36545
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 3.70005
Graph Density : 0.000400346053742864
Modularity : 0.397234
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 7,262 Twitter users whose recent tweets contained "#FinTech", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Saturday, 24 September 2022 at 06:58 UTC.
The tweets in the network were tweeted over the 1-day, 18-hour, 0-minute period from Thursday, 22 September 2022 at 10:58 UTC to Saturday, 24 September 2022 at 04:59 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch
Graph Term : #FinTech
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 : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[2298] #bigdata,#analytics [2180] #datascience,#bigdata [1771] #coding,#100daysofcode [1338] #digital,#python [1205] #python,#flutter [1170] #javascript,#coding [1111] #innovation,#digital [1080] #flutter,#javascript [1072] #fintech,#insurtech [1056] #tensorflow,#cloud Top Word Pairs in Tweet in G1:
[777] #fintech,#finserv [329] #bigdata,#analytics [289] #datascience,#bigdata [276] #machinelearning,#python [272] #100daysofcode,#fintech [272] #fintech,#insurtech [261] #python,#deeplearning [215] #insurtech,#finserv [209] #aiethics,#machinelearning [208] #deeplearning,#lunc Top Word Pairs in Tweet in G2:
[1942] #bigdata,#analytics [1866] #datascience,#bigdata [1554] #coding,#100daysofcode [1144] #digital,#python [999] #python,#flutter [995] #innovation,#digital [971] #flutter,#javascript [960] #javascript,#coding [939] #tensorflow,#cloud [871] #machinelearning,#tensorflow Top Word Pairs in Tweet in G3:
[180] #currencies,#fintech [172] #fintech,#loan [164] #loan,#investment [161] #find,#win [161] #win,#loanapp [160] #contest,#contestalert [160] #contestday,#engagement [160] #engagement,#finance [160] #finance,#financeterm [159] #contestalert,#contestday Top Word Pairs in Tweet in G4:
[799] xrp,#fintech [686] ripple,xrp [652] brad,garlinghouse [565] garlinghouse,ceo [565] ceo,ripple [248] sec,ripple [193] #fintech,co [192] ripple,invested [192] invested,over [192] over,60 Top Word Pairs in Tweet in G5:
[53] #blockchain,#fintech [49] #blockchain,#cryptocurrency [48] #cryptocurrencies,#fintech [47] #crypto,#cryptocurrency [47] #bitcoin,#btc [45] #cryptocurrency,#currency [44] #tdox,#blockchain [44] #cryptocurrency,#technology [44] lt,lt [44] lt,#crypto Top Word Pairs in Tweet in G6:
[38] #fintech,#finserv [35] #banque,#fintech [34] #startups,#francerelance [34] #francerelance,#frenchtech [34] #entreprendre,#innovation [33] #frenchtech,#royaumeuni [32] #globalbritain,yes [32] yes,#entreprises [32] #entreprises,#startups [32] #innovation,#numerique Top Word Pairs in Tweet in G7:
[32] #fintech,#startups [25] #startups,under [25] under,#stpifinblue [25] #stpifinblue,engaged [25] engaged,transunioncibil [25] transunioncibil,lead [25] lead,mr [25] mr,subbu [25] subbu,sundaresh [25] sundaresh,head Top Word Pairs in Tweet in G8:
[97] #wadzpay,#wearewadzpay [97] #wearewadzpay,#blockchain [97] #blockchain,#payment [97] #payment,#paymentapp [97] #asia,#africa [97] #africa,#uae [56] heard,refunds [56] refunds,blockchain [56] blockchain,wadzpay [56] wadzpay,making Top Word Pairs in Tweet in G9:
[57] win,win [56] one,single [56] single,apple [56] apple,pay [56] pay,transaction [56] transaction,takes [56] takes,16 [56] 16,steps [56] steps,complete [56] complete,building Top Word Pairs in Tweet in G10:
[34] #technology,#finance [34] #finance,#fintechnews [34] #fintechnews,#fintech [12] #fintech,#fintechnews [10] #payments,#fintech [9] read,more [9] #fintech,#payments [7] #fintech,#crypto [5] payinnforum,#pif [5] #openbanking,#openfinance 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 G6:
Top Replied-To in G7:
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: