The graph represents a network of 1,973 Twitter users whose tweets in the requested range contained "#FinServ", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 29 May 2022 at 01:52 UTC.
The requested start date was Sunday, 29 May 2022 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 4-day, 1-hour, 3-minute period from Monday, 23 May 2022 at 09:19 UTC to Friday, 27 May 2022 at 10:22 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 : 1973
Unique Edges : 3382
Edges With Duplicates : 17200
Total Edges : 20582
Number of Edge Types : 5
Retweet : 5993
MentionsInRetweet : 9463
Mentions : 4727
Tweet : 370
Replies to : 29
Self-Loops : 1069
Reciprocated Vertex Pair Ratio : 0.034913112164297
Reciprocated Edge Ratio : 0.067470615173256
Connected Components : 35
Single-Vertex Connected Components : 24
Maximum Vertices in a Connected Component : 1929
Maximum Edges in a Connected Component : 20533
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 3.021851
Graph Density : 0.00168373447216942
Modularity : 0.196708
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 1,973 Twitter users whose tweets in the requested range contained "#FinServ", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 29 May 2022 at 01:52 UTC.
The requested start date was Sunday, 29 May 2022 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 4-day, 1-hour, 3-minute period from Monday, 23 May 2022 at 09:19 UTC to Friday, 27 May 2022 at 10:22 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 : GraphServerTwitterSearch
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:
[1917] #datascientist,#mwc22 [1911] #cx,#women [1906] #digitalhealth,#datascientist [1898] #women,#ehealth [1897] #mwc22,#ai [1885] #ai,#healthtech [1858] #ehealth,#ces2023 [1713] #iiot,#cx [1707] #healthtech,#ml [1703] #ml,#iiot Top Word Pairs in Tweet in G1:
[380] #fintech,#finserv [134] #digitalhealth,#datascientist [134] #datascientist,#mwc22 [134] #mwc22,#ai [134] #ai,#healthtech [134] #cx,#women [134] #women,#ehealth [134] #ehealth,#ces2023 [123] chidambara09,#digitalhealth [122] #healthtech,#ml Top Word Pairs in Tweet in G2:
[186] #fintech,#finserv [102] #technology,#nftcommunity [94] #finserv,#cloud [86] #cloud,#innovation [83] #innovation,#datascience [72] #web3,#technology [52] #vr,#fintech [51] #nftcommunity,#metaverse [50] #metaverse,#techforgood [48] #datascience,#flutter Top Word Pairs in Tweet in G3:
[503] #iot,#iiot [469] #javascript,#reactjs [446] #python,#iot [396] #iiot,#pytorch [393] #reactjs,#wordpress [298] #wordpress,#security [289] #security,#defi [265] #datascientist,#mwc22 [264] #digitalhealth,#datascientist [261] #cx,#women Top Word Pairs in Tweet in G4:
[1287] #datascientist,#mwc22 [1287] #cx,#women [1281] #mwc22,#ai [1280] #women,#ehealth [1278] #digitalhealth,#datascientist [1273] #ai,#healthtech [1249] #ehealth,#ces2023 [1166] #healthtech,#ml [1166] #iiot,#cx [1164] #ml,#iiot Top Word Pairs in Tweet in G5:
[144] #finserv,#insurtech [136] #marketing,#finserv [113] 17,equations [113] changed,world [113] #stem,#futureofwork [113] #futureofwork,#marketing [111] #insurtech,#neobanks [110] equations,changed [110] #neobanks,#fintech [110] enricomolinari,17 Top Word Pairs in Tweet in G6:
[158] #fintech,#finserv [147] #tech,#innovation [140] #finserv,#blockchain [137] #nfts,#tech [93] #innovation,#datascience [78] #future,#fintech [78] #blockchain,#insurance [78] #insurance,#cryptocurrency [78] #cryptocurrency,#nfts [70] khulood_almani,#future Top Word Pairs in Tweet in G7:
[41] custodians,invest [41] invest,automation [41] automation,simplification [41] simplification,reduce [41] reduce,operational [41] operational,inefficiencies [41] inefficiencies,compromise [41] compromise,core [41] core,custodial [40] antgrasso,custodians Top Word Pairs in Tweet in G8:
[182] #datascientist,#mwc22 [181] #digitalhealth,#datascientist [180] #cx,#women [177] #mwc22,#ai [176] #ai,#healthtech [175] #women,#ehealth [171] #ehealth,#ces2023 [162] chidambara09,#digitalhealth [158] #iiot,#cx [156] #healthtech,#ml Top Word Pairs in Tweet in G9:
[9] #financialservices,#finserv [7] important,orgs [7] orgs,deploy [7] deploy,best [7] best,class [7] class,#cybersecurity [7] #cybersecurity,tools [7] tools,creating [7] creating,team [7] team,ready Top Word Pairs in Tweet in G10:
[37] #fintech,#finserv [28] #finserv,#blockchain [28] #blockchain,#tech [28] #tech,#security [28] #security,#web3 [28] #web3,#metaverse [28] #metaverse,#nft [22] #marketing,#fintech [15] #nft,#innovation [14] #innovation,#crosschain Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G6:
Top Replied-To in G8:
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 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: