The graph represents a network of 1,893 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, 08 August 2021 at 01:40 UTC.
The requested start date was Sunday, 08 August 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 9-day, 10-hour, 8-minute period from Sunday, 25 July 2021 at 00:06 UTC to Tuesday, 03 August 2021 at 10:15 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 : 1893
Unique Edges : 3004
Edges With Duplicates : 9579
Total Edges : 12583
Number of Edge Types : 5
Retweet : 3498
MentionsInRetweet : 6028
Mentions : 2439
Tweet : 609
Replies to : 9
Self-Loops : 746
Reciprocated Vertex Pair Ratio : 0.0513981882630957
Reciprocated Edge Ratio : 0.0977711181869264
Connected Components : 99
Single-Vertex Connected Components : 54
Maximum Vertices in a Connected Component : 1689
Maximum Edges in a Connected Component : 12238
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.275898
Graph Density : 0.00149069287203662
Modularity : 0.259221
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 1,893 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, 08 August 2021 at 01:40 UTC.
The requested start date was Sunday, 08 August 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 9-day, 10-hour, 8-minute period from Sunday, 25 July 2021 at 00:06 UTC to Tuesday, 03 August 2021 at 10:15 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:
[712] #fintech,#finserv [529] #iiot,#iot [472] #iot,#finserv [410] #bigdata,#uk [392] #uk,#crypto [384] #healthcare,#iiot [370] #crypto,#healthcare [323] #finserv,#banking [214] wef,enricomolinari [194] #fintech,#insurtech Top Word Pairs in Tweet in G1:
[261] #fintech,#finserv [153] #finserv,#banking [56] #finserv,#ai [50] powering,modern [50] modern,banking [50] banking,transformation [40] #ai,powering [39] #finserv,#fintech [38] #finserv,#artificialintelligence [37] transformation,#fintech Top Word Pairs in Tweet in G2:
[504] #iiot,#iot [445] #iot,#finserv [393] #bigdata,#uk [376] #uk,#crypto [371] #healthcare,#iiot [358] #crypto,#healthcare [168] #fintech,#finserv [154] #finserv,#socialmedia [122] #fintech,#banking [111] #innovation,#fintech Top Word Pairs in Tweet in G3:
[129] #fintech,#finserv [114] wef,enricomolinari [54] enricomolinari,#fintech [40] #finserv,#banking [38] #finserv,#insurtech [38] mashable,enricomolinari [35] enricomolinari,#ai [33] under,desk [33] desk,hammock [33] hammock,people Top Word Pairs in Tweet in G4:
[71] expected,reach [60] traditional,banks [56] cryptocurrency,market [56] market,expected [56] reach,24 [56] 24,trillion [56] trillion,2027 [56] 2027,growth [56] growth,forcing [56] forcing,traditional Top Word Pairs in Tweet in G5:
[65] #fintech,#finserv [56] #disruption,#blockchain [46] #blockchain,#fintech [32] #banking,#trading [21] #finserv,#banking [14] luxfinance,luxembourg [14] #xrp,#ripple [13] coindesk,#disruption [12] start,ups [11] luxembourg,business Top Word Pairs in Tweet in G6:
[108] #fintech,#insurtech [100] #startup,#innovation [93] #innovation,#finserv [79] #insurtech,#startup [46] #finserv,#banking [45] #banking,#payment [45] #payment,#lending [45] #lending,#investment [45] #investment,#digital [27] #finserv,spirosmargaris Top Word Pairs in Tweet in G7:
[28] #fintech,#finserv [9] reading,jpnicols [9] jpnicols,newsfeed [9] newsfeed,#innovation [9] #innovation,#strategy [9] #strategy,#leadership [9] #leadership,#fintech [8] walgreens,walmart [7] stratorob,walgreens [7] walmart,#banking Top Word Pairs in Tweet in G8:
[10] #fintech,#finserv [9] #finserv,orgs [7] financial,services [6] recent,economist [6] economist,survey [6] survey,found [6] found,30 [6] 30,#finserv [6] orgs,aiming [6] aiming,improve Top Word Pairs in Tweet in G9:
[53] blockchain,technology [38] financechainge,app [38] unique,features [31] never,seen [31] seen,before [26] #fintech,#data [26] futures,options [25] technology,#fintech [24] app,#defi [24] #defi,pocket Top Word Pairs in Tweet in G10:
[8] digitization,everything [5] 80,#finserv [5] #finserv,men [5] men,support [5] support,women [5] women,industry [5] industry,dasarteyarnway [5] dasarteyarnway,emilybinder's [5] emilybinder's,answer [5] #practicemgmt,friday 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 G7:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G6:
Top Mentioned in G7:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
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Top Tweeters in G5:
Top Tweeters in G6:
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Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: