The graph represents a network of 2,454 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, 01 August 2021 at 01:46 UTC.
The requested start date was Sunday, 01 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 11-day, 9-hour, 45-minute period from Tuesday, 20 July 2021 at 13:47 UTC to Saturday, 31 July 2021 at 23:32 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 : 2454
Unique Edges : 4307
Edges With Duplicates : 15606
Total Edges : 19913
Number of Edge Types : 5
MentionsInRetweet : 9896
Retweet : 5777
Mentions : 3414
Tweet : 813
Replies to : 13
Self-Loops : 1106
Reciprocated Vertex Pair Ratio : 0.046911866759195
Reciprocated Edge Ratio : 0.089619514781917
Connected Components : 125
Single-Vertex Connected Components : 75
Maximum Vertices in a Connected Component : 2202
Maximum Edges in a Connected Component : 19462
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.241631
Graph Density : 0.00125306038777592
Modularity : 0.228753
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 2,454 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, 01 August 2021 at 01:46 UTC.
The requested start date was Sunday, 01 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 11-day, 9-hour, 45-minute period from Tuesday, 20 July 2021 at 13:47 UTC to Saturday, 31 July 2021 at 23:32 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:
[1533] #iiot,#iot [1402] #iot,#finserv [990] #fintech,#finserv [821] #bigdata,#uk [805] #uk,#crypto [562] #frenchtech,#analytics [555] wef,enricomolinari [534] #bigdata,#iiot [533] #finserv,#socialmedia [484] #crypto,#blogs Top Word Pairs in Tweet in G1:
[447] #fintech,#finserv [211] #finserv,#banking [84] #finserv,#ai [80] #esg,#finserv [77] enricomolinari,#fintech [69] #finserv,#fintech [65] #fintech,tree [65] tree,taxonomy [65] taxonomy,#environment [65] #environment,bis_org Top Word Pairs in Tweet in G2:
[294] wef,enricomolinari [200] #fintech,#finserv [94] enricomolinari,#fintech [70] #finserv,#insurtech [62] #fintech,#esg [53] #finserv,#fintech [50] #finserv,#esg [46] enricomolinari,#ehealth [43] #finserv,#marketing [42] #marketing,#fintech Top Word Pairs in Tweet in G3:
[1466] #iiot,#iot [1331] #iot,#finserv [789] #bigdata,#uk [775] #uk,#crypto [538] #frenchtech,#analytics [515] #finserv,#socialmedia [513] #bigdata,#iiot [466] #crypto,#blogs [429] #healthcare,#iiot [401] #crypto,#healthcare Top Word Pairs in Tweet in G4:
[108] #fintech,#finserv [77] expected,reach [65] #banking,#fintech [63] traditional,banks [59] cryptocurrency,market [59] market,expected [59] reach,24 [59] 24,trillion [59] trillion,2027 [59] 2027,growth Top Word Pairs in Tweet in G5:
[138] #fintech,#insurtech [125] #startup,#innovation [113] #innovation,#finserv [111] #insurtech,#startup [83] #finserv,#banking [68] #banking,#payment [68] #payment,#lending [68] #lending,#investment [68] #investment,#digital [38] #fintech,#finserv Top Word Pairs in Tweet in G6:
[113] chainge,dex [71] blockchain,technology [57] fusion,blockchain [46] mean,transactions [46] transactions,made [46] made,chainge [46] dex,test [46] test,fusion [45] fusionprotocol,mean [40] crypto,universe Top Word Pairs in Tweet in G7:
[11] #insurtech,#finserv [11] don,false [11] false,positives [11] positives,sink [11] sink,#cybersecurity [11] #cybersecurity,strategy [11] strategy,techpearce2 [11] techpearce2,ashoknellikar [9] #fintech,#insurtech [9] stratorob,don Top Word Pairs in Tweet in G8:
[17] 80,banks [17] sustainability,#esg [17] #esg,face [17] data,reporting [17] reporting,challenges [17] challenges,read [16] banks,prioritizing [16] prioritizing,sustainability [16] face,myriad [16] myriad,data Top Word Pairs in Tweet in G9:
[11] #banking,#digitalbanking [11] #digitalbanking,#finserv [10] #fintech,#finserv [8] #finserv,#bankingtechnology [7] #cx,#custexp [6] find,leading [6] leading,digital [6] digital,#banks [6] #banks,rely [6] rely,finacle Top Word Pairs in Tweet in G10:
[10] #practicemgmt,friday [5] thank,wellsfargo [5] wellsfargo,finventurecap [5] #finserv,#business [5] #business,#innovation [4] huge,day [4] day,vestwell [4] vestwell,thank [4] finventurecap,leading [4] leading,70 Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G9:
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: