The graph represents a network of 1,596 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, 10 July 2022 at 01:54 UTC.
The requested start date was Sunday, 10 July 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, 0-hour, 50-minute period from Tuesday, 05 July 2022 at 09:30 UTC to Friday, 08 July 2022 at 10:21 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 : 1596
Unique Edges : 3740
Edges With Duplicates : 18107
Total Edges : 21847
Number of Edge Types : 5
Retweet : 6635
MentionsInRetweet : 11225
Mentions : 3639
Tweet : 244
Replies to : 104
Self-Loops : 542
Reciprocated Vertex Pair Ratio : 0.0434503767837101
Reciprocated Edge Ratio : 0.0832821143208359
Connected Components : 17
Single-Vertex Connected Components : 11
Maximum Vertices in a Connected Component : 1574
Maximum Edges in a Connected Component : 21814
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 2.990909
Graph Density : 0.00255654811008713
Modularity : 0.200171
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 1,596 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, 10 July 2022 at 01:54 UTC.
The requested start date was Sunday, 10 July 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, 0-hour, 50-minute period from Tuesday, 05 July 2022 at 09:30 UTC to Friday, 08 July 2022 at 10:21 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:
[3320] #iot,#iiot [3236] #javascript,#reactjs [2837] #reactjs,#wordpress [2555] #python,#iot [2548] #wordpress,#security [2444] #iiot,#pytorch [2421] #security,#defi [1572] #pytorch,#javascript [1047] #ai,#iot [897] #pytorch,#ad Top Word Pairs in Tweet in G1:
[424] #fintech,#finserv [123] #finserv,#marketing [93] #marketing,#insurtech [91] #tech,#innovation [79] #iot,#iiot [76] #iiot,#pytorch [74] #python,#iot [73] #javascript,#reactjs [65] #bigdata,#analytics [65] #reactjs,#wordpress Top Word Pairs in Tweet in G2:
[917] #iot,#iiot [764] #javascript,#reactjs [685] #reactjs,#wordpress [622] #cx,#women [621] #datascientist,#mwc22 [619] #python,#iot [618] #digitalhealth,#cx [611] #women,#ehealth [610] #healthtech,#datascientist [598] #ehealth,#finserv Top Word Pairs in Tweet in G3:
[2390] #javascript,#reactjs [2315] #iot,#iiot [2079] #reactjs,#wordpress [1898] #wordpress,#security [1854] #python,#iot [1807] #security,#defi [1763] #iiot,#pytorch [1211] #pytorch,#javascript [690] #ai,#iot [677] #python,#ai Top Word Pairs in Tweet in G4:
[20] #finserv,#payments [20] #fintech,#banking [20] #innovation,#fintech [18] #fintech,#finserv [10] press,#listenon [10] #listenon,retweet [10] #ai,#banking [10] #banking,#fintech [10] #openapis,#finserv [9] #payments,#techforgood Top Word Pairs in Tweet in G5:
[15] #fintech,#finserv [8] #disruption,#blockchain [8] #blockchain,#fintech [8] financial,services [8] antgrasso,#finserv [7] #banking,#trading [6] #finserv,#fintech [5] #finserv,#vc [5] #vc,#banking [5] #btc,#eth Top Word Pairs in Tweet in G6:
[100] #fintech,#finserv [97] #finserv,#blockchain [97] #blockchain,#tech [83] #tech,#security [55] #security,#web3 [38] #metaverse,#nft [38] #nft,#innovation [36] #web3,#metaverse [27] #innovation,#crosschain [25] blockchain,technology Top Word Pairs in Tweet in G7:
[39] searching,#wordpressdesigner [39] #wordpressdesigner,knock [39] knock,#wordpress [39] #wordpress,#webdesign [39] #webdesign,#developer [32] #fintech,#finserv [23] samadweb50,searching [23] #developer,#elemento [16] #tech,#fintech [16] #finserv,#ai Top Word Pairs in Tweet in G8:
[4] #fintech,#finserv [3] paul,byrne [3] reading,jpnicols [3] jpnicols,daily [3] daily,newsfeed [3] newsfeed,#innovation [3] #innovation,#strategy [3] #strategy,#leadership [3] #leadership,#fintech [3] #finserv,stories Top Word Pairs in Tweet in G9:
[4] #fintech,#finserv [3] #digitalcurrency,#fintech [3] #finserv,#cryptonews [3] #cryptonews,#btc [3] #btc,#trading [3] #trading,#mining [3] #mining,#blockchain [3] #blockchain,#digitalassets [3] #excelsecurities,#financialadvisor [2] #financialservices,#finserv Top Word Pairs in Tweet in G10:
[7] stratorob,save [7] save,moon [7] moon,protocol [7] protocol,aims [7] aims,intensify [7] intensify,burn [7] burn,#lunaclassic [7] #lunaclassic,dad4334 [7] dad4334,cryptore 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 G6:
Top Replied-To in G8:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
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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:
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Top Tweeters in G9:
Top Tweeters in G10: