The graph represents a network of 2,637 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, 21 March 2021 at 01:31 UTC.
The requested start date was Sunday, 21 March 2021 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 11-day, 6-hour, 49-minute period from Tuesday, 09 March 2021 at 17:00 UTC to Saturday, 20 March 2021 at 23:49 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 : 2637
Unique Edges : 4780
Edges With Duplicates : 16089
Total Edges : 20869
Number of Edge Types : 5
Tweet : 894
Retweet : 5595
MentionsInRetweet : 12070
Mentions : 2266
Replies to : 44
Self-Loops : 1001
Reciprocated Vertex Pair Ratio : 0.0265706481251552
Reciprocated Edge Ratio : 0.0517658442186744
Connected Components : 164
Single-Vertex Connected Components : 103
Maximum Vertices in a Connected Component : 2302
Maximum Edges in a Connected Component : 20291
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.341555
Graph Density : 0.00118944655345345
Modularity : 0.272636
NodeXL Version : 1.0.1.444
Data Import : The graph represents a network of 2,637 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, 21 March 2021 at 01:31 UTC.
The requested start date was Sunday, 21 March 2021 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 11-day, 6-hour, 49-minute period from Tuesday, 09 March 2021 at 17:00 UTC to Saturday, 20 March 2021 at 23:49 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:
[788] #fintech,#finserv [585] mashable,enricomolinari [581] wef,enricomolinari [433] gigadgets_,enricomolinari [301] financial,services [300] #ai,#iot [263] #finserv,#banking [247] #ai,#marketing [234] #finserv,#fintech [232] #fintech,#banking Top Word Pairs in Tweet in G1:
[533] wef,enricomolinari [533] mashable,enricomolinari [390] gigadgets_,enricomolinari [384] #fintech,#finserv [274] #ai,#iot [223] #ai,#marketing [164] enricomolinari,#renewables [162] #finserv,#ai [157] #business,#devops [157] #devops,#fintech Top Word Pairs in Tweet in G2:
[230] #fintech,#finserv [161] #finserv,#fintech [129] financial,services [106] many,central [106] central,banks [106] banks,actively [106] actively,researching [106] researching,use [106] use,potential [106] potential,blockchain Top Word Pairs in Tweet in G3:
[108] #finserv,#banking [77] #fintech,#finserv [27] #ai,#finserv [25] #finserv,orgs [25] orgs,need [25] need,systematic [25] systematic,model [25] model,biztechmagazine [25] biztechmagazine,offers [25] offers,phase Top Word Pairs in Tweet in G4:
[48] financial,services [23] reserve,seat [23] seat,isg [23] isg,techxchange [23] techxchange,banking [23] banking,financial [23] services,insurance [23] insurance,learn [22] learn,trends [22] trends,define Top Word Pairs in Tweet in G5:
[90] #fintech,#insurtech [69] #startup,#innovation [65] #insurtech,#startup [59] #innovation,#finserv [30] #finserv,#banking [30] #banking,#payment [30] #payment,#lending [30] #lending,#investment [30] #investment,#digital [19] #fintech,#finserv Top Word Pairs in Tweet in G6:
[49] 12,websites [49] websites,learn [49] #coding,free [49] #100daysofcode,#ai [49] #ai,#bigdata [49] #bigdata,#cloud [42] #python,12 [42] learn,#coding [42] free,ai_miami [42] ai_miami,#100daysofcode Top Word Pairs in Tweet in G7:
[14] #fintech,#finserv [11] financial,services [11] services,enterprise [9] #finserv,#fintech [8] strengthen,financial [8] another,financial [8] financial,institution [8] institution,suffers [8] suffers,#databreach [8] #databreach,hackers Top Word Pairs in Tweet in G8:
[17] molte,banche [17] banche,centrali [17] centrali,stanno [17] stanno,attivamente [17] attivamente,ricercando [17] ricercando,come [17] come,utilizzare [17] utilizzare,potenziale [17] potenziale,tecnologia [17] tecnologia,blockchain Top Word Pairs in Tweet in G9:
[52] #innovation,#fintech [52] #fintech,#banking [24] nicolas2pinto,#tech [19] #banking,#digitalbanking [15] #finserv,#payments [13] #disruption,#fintech [11] financial,services [11] #banking,#finserv [10] #openbanking,#openapis [9] services,#innovation Top Word Pairs in Tweet in G10:
[7] #innovation,#fintech [6] future,#banking [6] #banking,#cloud [6] #cloud,#innovation [6] #fintech,#banks [6] #banks,#digitalbanking [5] peter_rakowsky,future [5] #digitalbanking,#finse [4] financial,services [3] #fintech,application 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 G5:
Top Replied-To in G6:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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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: