The graph represents a network of 1,214 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, 20 February 2022 at 02:41 UTC.
The requested start date was Sunday, 20 February 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 2-day, 21-hour, 13-minute period from Thursday, 17 February 2022 at 03:16 UTC to Sunday, 20 February 2022 at 00:30 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 : 1214
Unique Edges : 2319
Edges With Duplicates : 16512
Total Edges : 18831
Number of Edge Types : 5
Mentions : 2864
MentionsInRetweet : 8833
Retweet : 6400
Replies to : 94
Tweet : 640
Self-Loops : 1427
Reciprocated Vertex Pair Ratio : 0.0399026763990268
Reciprocated Edge Ratio : 0.0767430978006551
Connected Components : 58
Single-Vertex Connected Components : 30
Maximum Vertices in a Connected Component : 1108
Maximum Edges in a Connected Component : 18711
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.183526
Graph Density : 0.00290238506242776
Modularity : 0.152567
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 1,214 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, 20 February 2022 at 02:41 UTC.
The requested start date was Sunday, 20 February 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 2-day, 21-hour, 13-minute period from Thursday, 17 February 2022 at 03:16 UTC to Sunday, 20 February 2022 at 00:30 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:
[4048] #women,#ehealth [4015] #cx,#women [2860] chidambara09,#datascientist [2844] #finserv,#fashiontech [2682] #ces2023,#finserv [2610] #ehealth,#data [2610] #data,#ces2023 [2609] #datascientist,#cloud [2599] #cloud,#digital [2397] #mwc22,#cx Top Word Pairs in Tweet in G1:
[240] #cx,#women [240] #women,#ehealth [233] chidambara09,#datascientist [178] #fintech,#finserv [177] #ces2023,#finserv [176] #finserv,#fashiontech [174] #ehealth,#data [174] #data,#ces2023 [162] #mwc22,#cx [158] #fashiontech,#insurte Top Word Pairs in Tweet in G2:
[2080] #women,#ehealth [2058] #cx,#women [1431] #finserv,#fashiontech [1417] #datascientist,#cloud [1413] #cloud,#digital [1287] #mwc22,#cx [1276] #ces2023,#finserv [1238] #ehealth,#data [1238] #data,#ces2023 [1143] #digital,#mwc22 Top Word Pairs in Tweet in G3:
[1561] #women,#ehealth [1554] #cx,#women [1414] chidambara09,#datascientist [1299] #iot,#iiot [1184] #javascript,#reactjs [1136] #finserv,#fashiontech [1130] #ces2023,#finserv [1102] #ehealth,#data [1102] #data,#ces2023 [1048] #reactjs,#wordpress Top Word Pairs in Tweet in G4:
[156] #women,#ehealth [152] #cx,#women [122] chidambara09,#datascientist [93] #finserv,#fashiontech [91] #mwc22,#cx [91] #ces2023,#finserv [88] #ehealth,#data [88] #data,#ces2023 [88] #datascientist,#cloud [87] #cloud,#digital Top Word Pairs in Tweet in G5:
[10] #fintech,#finserv [10] stratorob,#fintech [9] #finance,#finserv [9] #cx,#women [9] #women,#ehealth [8] #fintech,platform [8] platform,propelld [8] propelld,raises [8] raises,35 [8] 35,mn Top Word Pairs in Tweet in G6:
[20] #blockchain,based [20] based,#ecosystem [20] #ecosystem,antgrasso [20] antgrasso,#blockchains [20] #blockchains,#nfts [20] #marketing,#ai [20] #ai,#technology [20] #nfts,#web3 [19] #technology,#business [19] khulood_almani,#blockchain Top Word Pairs in Tweet in G7:
[4] open,banking [3] financial,services [2] #iot,#iiot [2] #javascript,#reactjs [2] #reactjs,#wordpress [2] #wordpress,#security [2] #security,#defi [2] give,credit [2] credit,union [2] union,members Top Word Pairs in Tweet in G8:
[15] #insurtech,#iot [12] #finserv,#insurtech [11] #ai,significant [11] significant,catalyst [11] catalyst,business [11] business,growth [11] growth,2022 [11] 2022,#finserv [11] #iot,#iiot [10] globaliqx,#ai Top Word Pairs in Tweet in G9:
[12] invest,#bitcoinz [12] #bitcoinz,project [12] project,ok [12] ok,#btcz [12] #btcz,#bitcoinz [12] #bitcoinz,#finserv [12] #finserv,#marketing [12] #marketing,#tensorflow [12] #tensorflow,#datavis [12] #datavis,#infosec Top Word Pairs in Tweet in G10:
[6] francefintech,financeinnov [6] financeinnov,paymentsnet [6] paymentsnet,asocfintechins [4] embedded,finance [4] finance,opportunity [4] opportunity,growth [4] growth,smes [4] smes,francefintech [3] skaleetofficial,embedded [3] asocfintechins,th Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
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 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: