The graph represents a network of 2,915 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, 25 April 2021 at 01:30 UTC.
The requested start date was Sunday, 25 April 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 12-day, 7-hour, 0-minute period from Monday, 12 April 2021 at 16:29 UTC to Saturday, 24 April 2021 at 23:30 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 : 2915
Unique Edges : 4412
Edges With Duplicates : 15891
Total Edges : 20303
Number of Edge Types : 5
Retweet : 5686
MentionsInRetweet : 10858
Mentions : 2893
Tweet : 822
Replies to : 44
Self-Loops : 964
Reciprocated Vertex Pair Ratio : 0.0364935562077325
Reciprocated Edge Ratio : 0.0704173334974763
Connected Components : 140
Single-Vertex Connected Components : 75
Maximum Vertices in a Connected Component : 2610
Maximum Edges in a Connected Component : 19775
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.450172
Graph Density : 0.000956287208731492
Modularity : 0.265848
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 2,915 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, 25 April 2021 at 01:30 UTC.
The requested start date was Sunday, 25 April 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 12-day, 7-hour, 0-minute period from Monday, 12 April 2021 at 16:29 UTC to Saturday, 24 April 2021 at 23:30 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:
[895] #fintech,#finserv [428] mashable,enricomolinari [350] financial,services [322] techinsider,enricomolinari [314] #banking,#fintech [288] #finserv,#banking [244] #fintech,#banking [240] wef,enricomolinari [237] #ai,#iot [227] #fintech,#insurtech Top Word Pairs in Tweet in G1:
[401] mashable,enricomolinari [306] techinsider,enricomolinari [273] #fintech,#finserv [216] wef,enricomolinari [210] #ai,#iot [201] intengineering,enricomolinari [167] #banking,#fintech [147] enricomolinari,#edtech [145] uniladtech,enricomolinari [143] #fintech,#banking Top Word Pairs in Tweet in G2:
[376] #fintech,#finserv [127] #banking,#fintech [117] banking,#fintech [115] #ibmpartner,ibmcloud [115] future,banking [109] #finserv,#ai [104] #cloud,#data [103] #data,#ibmpartner [103] ecosystem,key [102] key,future Top Word Pairs in Tweet in G3:
[112] financial,services [98] open,banking [83] banking,represents [83] represents,epochal [83] epochal,turning [83] turning,point [83] point,financial [83] services,four [83] four,pillars [83] pillars,play Top Word Pairs in Tweet in G4:
[56] #fintech,#finserv [35] #fintech,#banking [30] enricomolinari,future [29] future,bnpparibas [29] bnpparibas,#payments [29] #payments,#digitalassets [29] #digitalassets,making [29] making,#fintech [29] #banking,better [29] better,stay Top Word Pairs in Tweet in G5:
[93] #fintech,#finserv [82] #finserv,#banking [12] #cbdc,#fintech [12] reading,jpnicols [12] jpnicols,newsfeed [12] newsfeed,#innovation [12] #innovation,#strategy [12] #strategy,#leadership [12] #leadership,#fintech [10] digital,transformation Top Word Pairs in Tweet in G6:
[44] financial,services [33] banks,flee [33] flee,city [33] city,brexit [33] brexit,taking [33] taking,more [33] more,900bn [33] 900bn,assets [33] assets,figures [33] figures,make Top Word Pairs in Tweet in G7:
[14] #fintech,#finserv [11] the_lhoft,#lhoft [10] top,look [10] look,back [10] back,top [10] top,stories [10] upcoming,events [10] #lhoft,member [9] the_lhoft,#ai [8] #ai,spotlight Top Word Pairs in Tweet in G8:
[17] financial,services [5] #fintech,#finserv [4] #finserv,#fintech [4] #fortinet,secure [4] secure,#sdwan [4] industry,learn [3] financial,institutions [3] services,organizations [3] covid,19 [3] #fortinet,cisos Top Word Pairs in Tweet in G9:
[70] big,picture [70] picture,health [70] health,wealth [70] wealth,over [70] over,221 [70] 221,years [70] years,compressed [70] compressed,minute [70] minute,#economics [70] #economics,#globalhealth Top Word Pairs in Tweet in G10:
[65] #python,12 [65] 12,websites [65] websites,learn [65] learn,#coding [65] #coding,free [65] #100daysofcode,#ai [50] ai_miami,#python [48] #ai,#artificialintelligenc [36] free,strat_ai [36] strat_ai,#100daysofcode 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 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 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: