The graph represents a network of 1,483 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 March 2022 at 01:39 UTC.
The requested start date was Sunday, 20 March 2022 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 3-day, 6-hour, 59-minute period from Tuesday, 15 March 2022 at 03:22 UTC to Friday, 18 March 2022 at 10:22 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 : 1483
Unique Edges : 2451
Edges With Duplicates : 17373
Total Edges : 19824
Number of Edge Types : 5
Retweet : 6281
MentionsInRetweet : 8857
Mentions : 4353
Replies to : 92
Tweet : 241
Self-Loops : 1050
Reciprocated Vertex Pair Ratio : 0.0495524994542676
Reciprocated Edge Ratio : 0.0944259567387687
Connected Components : 39
Single-Vertex Connected Components : 17
Maximum Vertices in a Connected Component : 1408
Maximum Edges in a Connected Component : 19729
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.356006
Graph Density : 0.00218763621538935
Modularity : 0.175145
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 1,483 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 March 2022 at 01:39 UTC.
The requested start date was Sunday, 20 March 2022 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 3-day, 6-hour, 59-minute period from Tuesday, 15 March 2022 at 03:22 UTC to Friday, 18 March 2022 at 10:22 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:
[2325] #ehealth,#ces2023 [2324] #women,#ehealth [2310] #ces2023,#finserv [2276] #cx,#women [2128] #datascientist,#cloud [1911] #finserv,#fashiontech [1836] #iot,#iiot [1671] #ai,#cx [1636] #javascript,#reactjs [1555] #des2022,#ai Top Word Pairs in Tweet in G1:
[381] #fintech,#finserv [237] #ehealth,#ces2023 [236] #women,#ehealth [236] #ces2023,#finserv [235] #cx,#women [231] chidambara09,#datascientist [222] #datascientist,#cloud [216] #finserv,#fashiontech [188] #ai,#cx [172] #des2022,#ai Top Word Pairs in Tweet in G2:
[1767] #iot,#iiot [1573] #javascript,#reactjs [1364] #reactjs,#wordpress [1216] #pytorch,#javascript [1159] #wordpress,#security [1096] #iiot,#pytorch [1007] #python,#iot [1005] #security,#defi [973] #ai,#iot [925] #python,#ai Top Word Pairs in Tweet in G3:
[1775] #women,#ehealth [1773] #ehealth,#ces2023 [1760] #ces2023,#finserv [1733] #cx,#women [1604] #datascientist,#cloud [1402] #finserv,#fashiontech [1215] #ai,#cx [1137] #des2022,#ai [961] chidambara09,#datascientist [893] #cloud,#himss22 Top Word Pairs in Tweet in G4:
[62] #iot,#iiot [57] #javascript,#reactjs [52] #reactjs,#wordpress [49] #python,#iot [47] #iiot,#pytorch [40] #pytorch,#javascript [40] #wordpress,#security [37] #security,#defi [30] #fintech,#insurtech [26] #cybersecurity,#fintech Top Word Pairs in Tweet in G5:
[52] #fintech,#cashlesschina [51] psb_dc,betamoroney [51] spirosmargaris,efipm [50] betamoroney,spirosmargaris [50] #cashlesschina,#cbdc [50] #cbdc,#finserv [49] efipm,brettking [41] brettking,enricomolinari [31] enricomolinari,stratorob [30] stratorob,jimmarous Top Word Pairs in Tweet in G6:
[4] financial,services [3] learn,more [3] #fintech,#finserv [3] global,financial [2] financial,service [2] finacle,finacle [2] finacle,assure [2] assure,spend [2] spend,less [2] less,time Top Word Pairs in Tweet in G7:
[5] nicolas2pinto,#infographic [3] #finserv,#fintech [3] white,glove [2] advisor,kurt [2] kurt,business [2] business,grew [2] grew,over [2] over,300 [2] 300,using [2] using,white Top Word Pairs in Tweet in G8:
[17] banche,dovrebbero [17] dovrebbero,costruire [17] costruire,nuove [17] nuove,architetture [17] architetture,supporto [17] supporto,modernizzazione [17] modernizzazione,delle [17] delle,piattaforme [17] piattaforme,legacy [17] legacy,l'adozione Top Word Pairs in Tweet in G9:
[3] financial,inclusion [3] inclusion,works [3] works,women [3] women,european [3] european,microfinance [3] microfinance,award [3] award,2022 [3] 2022,mendelsonsam [2] mendelsonsam,danrozas [2] applications,open Top Word Pairs in Tweet in G10:
[2] #payments,top [2] top,look [2] look,back [2] back,top [2] top,news [2] news,expert [2] expert,commentary [2] commentary,innovation [2] innovation,payments [2] payments,featuring 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 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 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: