The graph represents a network of 2,232 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, 04 December 2022 at 02:52 UTC.
The requested start date was Sunday, 04 December 2022 at 01:01 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 11-day, 12-hour, 52-minute period from Monday, 21 November 2022 at 18:37 UTC to Saturday, 03 December 2022 at 07:29 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 : 2232
Unique Edges : 3236
Edges With Duplicates : 17089
Total Edges : 20325
Number of Edge Types : 5
Retweet : 5781
MentionsInRetweet : 8936
Mentions : 4363
Tweet : 1171
Replies to : 74
Self-Loops : 1659
Reciprocated Vertex Pair Ratio : 0.0564556539168198
Reciprocated Edge Ratio : 0.106877470355731
Connected Components : 195
Single-Vertex Connected Components : 167
Maximum Vertices in a Connected Component : 1957
Maximum Edges in a Connected Component : 19968
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.503749
Graph Density : 0.00127018438458412
Modularity : 0.226371
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 2,232 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, 04 December 2022 at 02:52 UTC.
The requested start date was Sunday, 04 December 2022 at 01:01 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 11-day, 12-hour, 52-minute period from Monday, 21 November 2022 at 18:37 UTC to Saturday, 03 December 2022 at 07:29 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:
[2438] #iot,#iiot [2382] #javascript,#reactjs [2313] #python,#iot [2192] #iiot,#pytorch [1803] #reactjs,#wordpress [1539] #wordpress,#security [1394] #security,#defi [947] #pytorch,#ad [932] #ad,#javascript [918] #fintech,#finserv Top Word Pairs in Tweet in G1:
[415] #fintech,#finserv [162] #finserv,#metaverse [155] #fintech,#crypto [127] #marketing,#fintech [118] #bitcoin,#blockchain [108] #crypto,#bitcoin [106] #fintech,#marketing [103] enricomolinari,#nocode [95] #finserv,#fintech [95] #blockchain,#business Top Word Pairs in Tweet in G2:
[320] #ml,#algorithms [320] #python,code [320] morgan,comprehensive [320] #machinelearning,#python [320] guide,#machinelearning [320] code,popular [320] popular,#ml [320] comprehensive,280 [320] 280,guide [271] kirkdborne,morgan Top Word Pairs in Tweet in G3:
[2366] #iot,#iiot [2321] #javascript,#reactjs [2251] #python,#iot [2131] #iiot,#pytorch [1756] #reactjs,#wordpress [1497] #wordpress,#security [1357] #security,#defi [908] #pytorch,#ad [893] #ad,#javascript [582] #pytorch,#javascript Top Word Pairs in Tweet in G4:
[726] #csuite,#digitalhealth [725] #ehealth,#finserv [724] #web3,#cx [724] #digitalhealth,#web3 [724] #datascientist,#csuite [724] #cx,#ehealth [690] #healthtech,#smartcity [689] #smartcity,#datascientist [404] #finserv,#cloud [344] chidambara09,#healthtech Top Word Pairs in Tweet in G5:
[121] learn,more [117] cisos,maintaining [117] constant,challenge [117] challenge,learn [117] heightened,threat [117] maintaining,operations [117] threat,environment [117] environment,constant [114] today's,heightened [114] operations,today's Top Word Pairs in Tweet in G6:
[82] #fintech,#finserv [57] searching,#wordpressdesigner [57] #developer,#elementor [57] samadweb50,searching [57] #wordpress,#webdesign [57] #wordpressdesigner,knock [57] knock,#wordpress [57] #webdesign,#developer [53] #fintech,#banking [50] #innovation,#fintech Top Word Pairs in Tweet in G7:
[56] insurance,companies [55] financial,services [52] revolution,reshape [52] view,ai [52] reshape,status [52] natural,disruptive [52] status,quo [52] companies,view [52] quo,demand [52] disruptive,revolution Top Word Pairs in Tweet in G8:
[128] #fintech,#finserv [53] ralexjimenez,finmktg [50] #finserv,ralexjimenez [46] bristowcolin,ursbolt [46] clagett,bristowcolin [46] damien_cabadi,clagett [46] finmktg,damien_cabadi [45] ursbolt,efipm [44] efipm,xbond49 [41] xbond49,insurtechforum Top Word Pairs in Tweet in G9:
[73] #digitalassets,#finserv [72] #finserv,#tron [68] #doge,#shib [66] #lunaclassic,#blockchain [66] #tron,#avalanche [64] #blockchain,#bigeyescoin [62] #avalanche,#doge [62] #bigeyescoin,#ethereum [62] #shib,#lunaclassic [58] #ethereum,#lunc Top Word Pairs in Tweet in G10:
[13] fintech,daily [13] #fintech,#finserv [7] daily,thanks [6] neeta,mundra [6] daily,neeta [5] latest,fintech [4] mundra,stories [3] megapenguinx,#fintech [2] thanks,kendilaniannbc [2] latest,growth Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G6:
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: