Fintech - Presentations from the DataScience Meetup about Banking - Brussels ...DigitYser
Link to the Fintech Presentations from the DataScience Meetup about Banking - Brussels May 2015.
Brussels Data Science Community
1. KUL: Bart Baesens & Véronique Van Vlasselaer, Gotch’all! Advanced Network Analysis for Detecting Groups of Fraud
2. Euroclear : Istvan Hajnal, Doing data sciences
3. ING : Meric Potier & Thomas Carette, Data Science and (Advanced) Predictive Analytics @ ING
4. Dexia : Bart Hamers , Data Science Governance, my 6 principles.
5. DataCamp: Presentation of Data Camp, Dieter
Introduction to Data Science - ESCP Europe Martin Daniel
Why Data is becoming a competitive advantage in all verticals.
Introduction to Data Science given to ESCP Europe Master 2 in Feb 15'.
Martin DANIEL - @martindaniel4
Fintech - Presentations from the DataScience Meetup about Banking - Brussels ...DigitYser
Link to the Fintech Presentations from the DataScience Meetup about Banking - Brussels May 2015.
Brussels Data Science Community
1. KUL: Bart Baesens & Véronique Van Vlasselaer, Gotch’all! Advanced Network Analysis for Detecting Groups of Fraud
2. Euroclear : Istvan Hajnal, Doing data sciences
3. ING : Meric Potier & Thomas Carette, Data Science and (Advanced) Predictive Analytics @ ING
4. Dexia : Bart Hamers , Data Science Governance, my 6 principles.
5. DataCamp: Presentation of Data Camp, Dieter
Introduction to Data Science - ESCP Europe Martin Daniel
Why Data is becoming a competitive advantage in all verticals.
Introduction to Data Science given to ESCP Europe Master 2 in Feb 15'.
Martin DANIEL - @martindaniel4
My class presentation at USC. It gives an introduction about what is data science, machine learning, applications, recommendation system and infrastructure.
Welcome to the Age of Big Data in Banking Andy Hirst
Big Data in banking presentation from Sibos Dubai 2013 . What are use cases driving deployments in Banking ? See the use cases SAP is involved In banking in 2013
The science of client insight: Increase revenue through improved engagementIBM Analytics
As they compete in the modern business environment, companies are increasingly looking to sophisticated analytics and cognitive capabilities to help them gain a deep understanding of what matters to their clients. By knowing their customers well, organizations can provide targeted, personalized service that adds value and heightens customer loyalty. When they do, they can avoid churn while generating additional revenue models by creating meaningful cross-selling opportunities in a customer-centric world. Explore this ebook to discover a wide array of uses for client insights in banking and wealth management.
Two hour lecture I gave at the Jyväskylä Summer School. The purpose of the talk is to give a quick non-technical overview of concepts and methodologies in data science. Topics include a wide overview of both pattern mining and machine learning.
See also Part 2 of the lecture: Industrial Data Science. You can find it in my profile (click the face)
Introduction to Data Science and AnalyticsSrinath Perera
This webinar serves as an introduction to WSO2 Summer School. It will discuss how to build a pipeline for your organization and for each use case, and the technology and tooling choices that need to be made for the same.
This session will explore analytics under four themes:
Hindsight (what happened)
Oversight (what is happening)
Insight (why is it happening)
Foresight (what will happen)
Recording http://t.co/WcMFEAJHok
Introduction to Data Science: presented by Dr. Sotarat Thammaboosadee, ITM Mahidol and Datalent Team. This presentation is a part of Data Science Clinic no.9 organized by Data Science Thailand, 8 March 2017 at All Season Place, Bangkok, Thailand.
How to Become a Data Scientist
SF Data Science Meetup, June 30, 2014
Video of this talk is available here: https://www.youtube.com/watch?v=c52IOlnPw08
More information at: http://www.zipfianacademy.com
Zipfian Academy @ Crowdflower
Financial Networks and Financial StabilityKimmo Soramaki
The recent global financial crisis has illustrated the role of financial linkages as a channel for the propagation of shocks. It also brought to the fore the concept that institutions may be “too interconnected to fail”, in addition to the traditional concept of being “too big to fail”.
Financial Network Analysis - Talk at Oslo University 25 March 2011Kimmo Soramaki
Kimmo will introduce research in financial network analysis. He will talk about recent research on networks across various disciplines and discuss how network analysis can be used to gain a better understanding of the financial system and enhance its stability. He will also present a new open source tool ( www.financialnetworkanalyzer.com ) that can help policymakers and researchers in the area.
My class presentation at USC. It gives an introduction about what is data science, machine learning, applications, recommendation system and infrastructure.
Welcome to the Age of Big Data in Banking Andy Hirst
Big Data in banking presentation from Sibos Dubai 2013 . What are use cases driving deployments in Banking ? See the use cases SAP is involved In banking in 2013
The science of client insight: Increase revenue through improved engagementIBM Analytics
As they compete in the modern business environment, companies are increasingly looking to sophisticated analytics and cognitive capabilities to help them gain a deep understanding of what matters to their clients. By knowing their customers well, organizations can provide targeted, personalized service that adds value and heightens customer loyalty. When they do, they can avoid churn while generating additional revenue models by creating meaningful cross-selling opportunities in a customer-centric world. Explore this ebook to discover a wide array of uses for client insights in banking and wealth management.
Two hour lecture I gave at the Jyväskylä Summer School. The purpose of the talk is to give a quick non-technical overview of concepts and methodologies in data science. Topics include a wide overview of both pattern mining and machine learning.
See also Part 2 of the lecture: Industrial Data Science. You can find it in my profile (click the face)
Introduction to Data Science and AnalyticsSrinath Perera
This webinar serves as an introduction to WSO2 Summer School. It will discuss how to build a pipeline for your organization and for each use case, and the technology and tooling choices that need to be made for the same.
This session will explore analytics under four themes:
Hindsight (what happened)
Oversight (what is happening)
Insight (why is it happening)
Foresight (what will happen)
Recording http://t.co/WcMFEAJHok
Introduction to Data Science: presented by Dr. Sotarat Thammaboosadee, ITM Mahidol and Datalent Team. This presentation is a part of Data Science Clinic no.9 organized by Data Science Thailand, 8 March 2017 at All Season Place, Bangkok, Thailand.
How to Become a Data Scientist
SF Data Science Meetup, June 30, 2014
Video of this talk is available here: https://www.youtube.com/watch?v=c52IOlnPw08
More information at: http://www.zipfianacademy.com
Zipfian Academy @ Crowdflower
Financial Networks and Financial StabilityKimmo Soramaki
The recent global financial crisis has illustrated the role of financial linkages as a channel for the propagation of shocks. It also brought to the fore the concept that institutions may be “too interconnected to fail”, in addition to the traditional concept of being “too big to fail”.
Financial Network Analysis - Talk at Oslo University 25 March 2011Kimmo Soramaki
Kimmo will introduce research in financial network analysis. He will talk about recent research on networks across various disciplines and discuss how network analysis can be used to gain a better understanding of the financial system and enhance its stability. He will also present a new open source tool ( www.financialnetworkanalyzer.com ) that can help policymakers and researchers in the area.
Is network theory the best hope for regulating systemic risk?Kimmo Soramaki
The presentation is organised around three policy questions:
1. How can we measure the systemic importance of a bank?
2. Can regulators promote a safer financial system by affecting its topology?
3. Is it possible to devise early-warning indicators from real-time data?
As the financial system becomes more complex, new methods to understand the inherent risks and dynamics are needed. Kimmo Soramäki will discuss how network analysis of large‐scale financial transaction data can be used to improve our understanding systemic risk. He will also show case studies how visual analytics and accurate data driven maps of asset correlations and tail risks can enable a stronger intuition of market dynamics.
Mapping Financial Landscapes @ Norges BankKimmo Soramaki
Financial market turmoil has revealed the interconnected nature of modern financial systems. Industry, regulators and academics agree on the need for better analytical tools that can help monitor and safeguard against systemic risks. Kimmo Soramaki reviews new research in financial network analysis, including how network analysis of large-scale financial transaction data can be used to improve our understanding of how the financial system functions. How can visual analytics of time-series networks bring new insights? How can cross-asset networks enable stronger intuition of market dynamics?
Financial Cartography at Bogazici UniversityKimmo Soramaki
As the financial system becomes more complex, new methods to understand its inherent risks and dynamics are needed. Kimmo Soramäki will discuss how network analysis of large‐scale financial transaction data can be used to improve our understanding systemic risk. He will also show case studies how visual analytics and accurate data driven maps of asset correlations and tail risks can enable a stronger intuition of market dynamics.
Presented at the annual Financial Risk and Network Theory conference in Cambridge, I discuss recent work by FNA on addressing various financial risks with the help of network analysis.
Applications of Network Theory in Finance and ProductionKimmo Soramaki
In recent years, network theory has proved useful in applications ranging from cancer research to the social graph. Applications of network theory are becoming ever more present also in economics and finance, with network analysis providing answers to questions where traditional analysis methods are weak, and leading to improved models across wide types of risks. This presentation discusses three real-world applications of network theory: identifying pivotal countries and payment corridors from the global network of payment flows, using industry level value chains for casualty risk modeling, and using asset correlation networks for detecting emerging and systemic risks.
Global Network of Payment Flows - Presentation at Commerzbank Cash ForumKimmo Soramaki
The presentation summarizes results from the research paper by Samantha Cook and myself on "The Global Network of Payment Flows" and discusses other applications of payment data for gaining business insights or for improving risk models.
Presentation held at the 5th Risk Summit organized by Center for Risk Studies at the University of Cambridge. See http://www.risk.jbs.cam.ac.uk/news/events/risksummits/risksummit2014.html
Slides from a PRMIA Webinar broadcast on 9 October 2013 by Alan Laubsch and me.
Description from PRMIA Website:
This webinar will apply advanced network visualization techniques to detect emerging systemic stress scenarios.
We will start with an introduction of the Adaptive Stress Testing framework, which harnesses network intelligence in the stress testing process. We'll show how Adaptive Stress Testing can be used to design credible scenarios and monitor emerging risks.
We review historical case studies, and then discuss potential emerging threats in the current market environment by using network visualization.
System shock analysis and complex network effectsKimmo Soramaki
Joint presentation with Michelle Tuveson and Dr Andrew Coburn from Cambridge Risk Center at the Conference Board Global Risk Conference in New York, 8 May 2013.
Links to conference website: http://www.conference-board.org/conferences/conferencedetail.cfm?conferenceid=2456
Presentation at FSC-PSSC Workshop "Systemic risk analysis: interconnectedness within the financial system and market infrastructures", Frankfurt, 17 October 2012
The paper presented here will be published in Journal of Economic Behavior and Organization (http://www.fna.fi/papers/jebo2012gs.pdf)
Identifying systemically important banks in payment systemsKimmo Soramaki
Talk at 'Systemic Risk Conference - Economists meet Neuroscientists' in Frankfurt on 18 September 2012. The conference was organized by House of Finance and Frankfurt Institute for Advanced Studies.
Exploring Abhay Bhutada’s Views After Poonawalla Fincorp’s Collaboration With...beulahfernandes8
The financial landscape in India has witnessed a significant development with the recent collaboration between Poonawalla Fincorp and IndusInd Bank.
The launch of the co-branded credit card, the IndusInd Bank Poonawalla Fincorp eLITE RuPay Platinum Credit Card, marks a major milestone for both entities.
This strategic move aims to redefine and elevate the banking experience for customers.
how can i use my minded pi coins I need some funds.DOT TECH
If you are interested in selling your pi coins, i have a verified pi merchant, who buys pi coins and resell them to exchanges looking forward to hold till mainnet launch.
Because the core team has announced that pi network will not be doing any pre-sale. The only way exchanges like huobi, bitmart and hotbit can get pi is by buying from miners.
Now a merchant stands in between these exchanges and the miners. As a link to make transactions smooth. Because right now in the enclosed mainnet you can't sell pi coins your self. You need the help of a merchant,
i will leave the telegram contact of my personal pi merchant below. 👇 I and my friends has traded more than 3000pi coins with him successfully.
@Pi_vendor_247
Poonawalla Fincorp and IndusInd Bank Introduce New Co-Branded Credit Cardnickysharmasucks
The unveiling of the IndusInd Bank Poonawalla Fincorp eLITE RuPay Platinum Credit Card marks a notable milestone in the Indian financial landscape, showcasing a successful partnership between two leading institutions, Poonawalla Fincorp and IndusInd Bank. This co-branded credit card not only offers users a plethora of benefits but also reflects a commitment to innovation and adaptation. With a focus on providing value-driven and customer-centric solutions, this launch represents more than just a new product—it signifies a step towards redefining the banking experience for millions. Promising convenience, rewards, and a touch of luxury in everyday financial transactions, this collaboration aims to cater to the evolving needs of customers and set new standards in the industry.
How to get verified on Coinbase Account?_.docxBuy bitget
t's important to note that buying verified Coinbase accounts is not recommended and may violate Coinbase's terms of service. Instead of searching to "buy verified Coinbase accounts," follow the proper steps to verify your own account to ensure compliance and security.
USDA Loans in California: A Comprehensive Overview.pptxmarketing367770
USDA Loans in California: A Comprehensive Overview
If you're dreaming of owning a home in California's rural or suburban areas, a USDA loan might be the perfect solution. The U.S. Department of Agriculture (USDA) offers these loans to help low-to-moderate-income individuals and families achieve homeownership.
Key Features of USDA Loans:
Zero Down Payment: USDA loans require no down payment, making homeownership more accessible.
Competitive Interest Rates: These loans often come with lower interest rates compared to conventional loans.
Flexible Credit Requirements: USDA loans have more lenient credit score requirements, helping those with less-than-perfect credit.
Guaranteed Loan Program: The USDA guarantees a portion of the loan, reducing risk for lenders and expanding borrowing options.
Eligibility Criteria:
Location: The property must be located in a USDA-designated rural or suburban area. Many areas in California qualify.
Income Limits: Applicants must meet income guidelines, which vary by region and household size.
Primary Residence: The home must be used as the borrower's primary residence.
Application Process:
Find a USDA-Approved Lender: Not all lenders offer USDA loans, so it's essential to choose one approved by the USDA.
Pre-Qualification: Determine your eligibility and the amount you can borrow.
Property Search: Look for properties in eligible rural or suburban areas.
Loan Application: Submit your application, including financial and personal information.
Processing and Approval: The lender and USDA will review your application. If approved, you can proceed to closing.
USDA loans are an excellent option for those looking to buy a home in California's rural and suburban areas. With no down payment and flexible requirements, these loans make homeownership more attainable for many families. Explore your eligibility today and take the first step toward owning your dream home.
Financial Assets: Debit vs Equity Securities.pptxWrito-Finance
financial assets represent claim for future benefit or cash. Financial assets are formed by establishing contracts between participants. These financial assets are used for collection of huge amounts of money for business purposes.
Two major Types: Debt Securities and Equity Securities.
Debt Securities are Also known as fixed-income securities or instruments. The type of assets is formed by establishing contracts between investor and issuer of the asset.
• The first type of Debit securities is BONDS. Bonds are issued by corporations and government (both local and national government).
• The second important type of Debit security is NOTES. Apart from similarities associated with notes and bonds, notes have shorter term maturity.
• The 3rd important type of Debit security is TRESURY BILLS. These securities have short-term ranging from three months, six months, and one year. Issuer of such securities are governments.
• Above discussed debit securities are mostly issued by governments and corporations. CERTIFICATE OF DEPOSITS CDs are issued by Banks and Financial Institutions. Risk factor associated with CDs gets reduced when issued by reputable institutions or Banks.
Following are the risk attached with debt securities: Credit risk, interest rate risk and currency risk
There are no fixed maturity dates in such securities, and asset’s value is determined by company’s performance. There are two major types of equity securities: common stock and preferred stock.
Common Stock: These are simple equity securities and bear no complexities which the preferred stock bears. Holders of such securities or instrument have the voting rights when it comes to select the company’s board of director or the business decisions to be made.
Preferred Stock: Preferred stocks are sometime referred to as hybrid securities, because it contains elements of both debit security and equity security. Preferred stock confers ownership rights to security holder that is why it is equity instrument
<a href="https://www.writofinance.com/equity-securities-features-types-risk/" >Equity securities </a> as a whole is used for capital funding for companies. Companies have multiple expenses to cover. Potential growth of company is required in competitive market. So, these securities are used for capital generation, and then uses it for company’s growth.
Concluding remarks
Both are employed in business. Businesses are often established through debit securities, then what is the need for equity securities. Companies have to cover multiple expenses and expansion of business. They can also use equity instruments for repayment of debits. So, there are multiple uses for securities. As an investor, you need tools for analysis. Investment decisions are made by carefully analyzing the market. For better analysis of the stock market, investors often employ financial analysis of companies.
Introduction to Indian Financial System ()Avanish Goel
The financial system of a country is an important tool for economic development of the country, as it helps in creation of wealth by linking savings with investments.
It facilitates the flow of funds form the households (savers) to business firms (investors) to aid in wealth creation and development of both the parties
Currently pi network is not tradable on binance or any other exchange because we are still in the enclosed mainnet.
Right now the only way to sell pi coins is by trading with a verified merchant.
What is a pi merchant?
A pi merchant is someone verified by pi network team and allowed to barter pi coins for goods and services.
Since pi network is not doing any pre-sale The only way exchanges like binance/huobi or crypto whales can get pi is by buying from miners. And a merchant stands in between the exchanges and the miners.
I will leave the telegram contact of my personal pi merchant. I and my friends has traded more than 6000pi coins successfully
Tele-gram
@Pi_vendor_247
What website can I sell pi coins securely.DOT TECH
Currently there are no website or exchange that allow buying or selling of pi coins..
But you can still easily sell pi coins, by reselling it to exchanges/crypto whales interested in holding thousands of pi coins before the mainnet launch.
Who is a pi merchant?
A pi merchant is someone who buys pi coins from miners and resell to these crypto whales and holders of pi..
This is because pi network is not doing any pre-sale. The only way exchanges can get pi is by buying from miners and pi merchants stands in between the miners and the exchanges.
How can I sell my pi coins?
Selling pi coins is really easy, but first you need to migrate to mainnet wallet before you can do that. I will leave the telegram contact of my personal pi merchant to trade with.
Tele-gram.
@Pi_vendor_247
The secret way to sell pi coins effortlessly.DOT TECH
Well as we all know pi isn't launched yet. But you can still sell your pi coins effortlessly because some whales in China are interested in holding massive pi coins. And they are willing to pay good money for it. If you are interested in selling I will leave a contact for you. Just telegram this number below. I sold about 3000 pi coins to him and he paid me immediately.
Telegram: @Pi_vendor_247
The European Unemployment Puzzle: implications from population agingGRAPE
We study the link between the evolving age structure of the working population and unemployment. We build a large new Keynesian OLG model with a realistic age structure, labor market frictions, sticky prices, and aggregate shocks. Once calibrated to the European economy, we quantify the extent to which demographic changes over the last three decades have contributed to the decline of the unemployment rate. Our findings yield important implications for the future evolution of unemployment given the anticipated further aging of the working population in Europe. We also quantify the implications for optimal monetary policy: lowering inflation volatility becomes less costly in terms of GDP and unemployment volatility, which hints that optimal monetary policy may be more hawkish in an aging society. Finally, our results also propose a partial reversal of the European-US unemployment puzzle due to the fact that the share of young workers is expected to remain robust in the US.
what is the best method to sell pi coins in 2024DOT TECH
The best way to sell your pi coins safely is trading with an exchange..but since pi is not launched in any exchange, and second option is through a VERIFIED pi merchant.
Who is a pi merchant?
A pi merchant is someone who buys pi coins from miners and pioneers and resell them to Investors looking forward to hold massive amounts before mainnet launch in 2026.
I will leave the telegram contact of my personal pi merchant to trade pi coins with.
@Pi_vendor_247
If you are looking for a pi coin investor. Then look no further because I have the right one he is a pi vendor (he buy and resell to whales in China). I met him on a crypto conference and ever since I and my friends have sold more than 10k pi coins to him And he bought all and still want more. I will drop his telegram handle below just send him a message.
@Pi_vendor_247
Financial Network Analysis @ Central Bank of Bolivia
1. Presentation at Payments System Oversight Course
Central Bank of Bolivia, La Paz
25 November 2011
Financial Network Analysis
Simulation analysis and stress testing
of payment networks – Session 1
Kimmo Soramäki
kimmo@soramaki.net, www.fna.fi
3. “Is network theory the “Meltdown modeling - “... need for new and
best hope for regulating Could agent-based fundamental
systemic risk?” computer models prevent understanding of the
another financial crisis?” structure and dynamics of
economic networks.”
CFA Magazine, July 2009 Nature, August 2009 Science, July 2009
4. In the face of the crisis, we felt abandoned by conventional tools.
In the absence of clear guidance from existing analytical
frameworks, policy-makers had to place particular reliance on our
experience. Judgement and experience inevitably played a key role.
Jean-Claude Trichet, (Now former) President of the ECB,
Opening address at the ECB Central Banking Conference,
Frankfurt, 18 November 2010
5. Network maps
• Recent financial crisis brought to light the need to look at
links between financial institutions
• Networks are a natural way to visualize the financial system
• „Network thinking‟ widespread by regulators
• Mapping of the financial system
has only begun
Eratosthenes' map of the known
world, c.194 BC.
6. Visualising financial networks
Bech, M.L. and Atalay, E. (2008), “The Topology of
the Federal Funds Market”. ECB Working Paper No. 986. Italian money market
Iori G, G de Masi, O Precup, G Gabbi and G
Caldarelli (2008): “A network analysis of the Italian
overnight money market”, Journal of Economic
Dynamics and Control, vol. 32(1), pages 259-278
Federal funds Unsecured sterling
money market
Wetherilt, A. P. Zimmerman, and K. Soramäki
(2008), “The sterling unsecured loan market
during 2006–2008: insights from network
topology“, in Leinonen (ed), BoF Scientific
monographs, E 42
Soramaki, K, M.L. Bech, J. Arnold, R.J. Glass and W.E. Beyeler (2007), “The topology of
interbank payment flows”, Physica A, Vol. 379, pp 317-333, 2007.
Fedwire
7. Europe's Web of Debt
(Bill Marsh / The New York Times, 1 May 2010)
8. Eurozone debt web: Who owes what to whom?
(BBC, 18 November 2011)
http://www.bbc.co.uk/news/business-15748696
9. Network theory
Financial
Network Analysis
Social Network
Network Science
Analysis
NETWORK
THEORY
Graph & Matrix Computer
Theory Science
Biological
Network Analysis
10. Main premise of network analysis:
the structure of the links between nodes matters
The properties and behaviour of a node cannot
be analysed on the basis its own properties and
behaviour alone.
To understand the behaviour of one node, one
must analyse the behaviour of nodes that may be
several links apart in the network.
Financial context: network of interconnected
balance sheets
13. “Homophily”
– “Birds of one feather flock together”, “herd Spread of obesity
behaviour”
– Ideas, attributes, etc tend to cluster together
and enforce each other
– Examples: Some obvious (age, social
status), others less (obesity, happiness, divorces)
– How about: risk appetite, portfolio
decisions, etc.
“Small world phenomenon”
– “Six degrees of separation” (6.6 on MSN Nicholas A. Christakis, James H. Fowler
New England Journal of Medicine 357 (4): 370–379
messenger) (26 July 2007)
– The shortest path between any two nodes is
very short
Fedwire degree distribution
– Implications for contagion?
Probability (log)
“Robust yet fragile“, “Scale-free networks”
– “The removal of "small" nodes does not
alter the path structure of the remaining
nodes, and thus has no impact on the
overall network topology. “
Degree (log)
13
14. Network analysis for Oversight
• Network maps: intuitive, provide a deeper understanding of the
system via anomaly explanation and visualization
• Centrality metrics: such as Pagerank can be used as a proxy for
systemic importance, contagious links
• Monitor over time: build reference data, detect and understand
gradual change
• Tied to availability of data: enables “Analytics based policy”, i.e. the
application of computer technology, operational research, and
statistics to solve regulatory problems
15. Research
• A growing body of empirical research on financial networks
• Interbank payment flows
– Soramäki et al (2006), Becher et al. (2008), Boss et al. (2008), Pröpper et al.
(2009), Embree and Roberts (2009), Akram and Christophersen (2010) …
• Overnight loans networks
– Atalay and Bech (2008), Bech and Bonde (2009), Wetherilt et al. (2009), Iori et
al. (2008) and Heijmans et al. (2010), Craig & von Peter (2010) …
• Flow of funds, Credit registry, Stock trading…
– Castren and Kavonius (2009), Bastos e Santos and Cont (2010), Garrett et al.
2011, Minoiu and Reyes (2011), (Adamic et al. 2009, Jiang and Zhou 2011) …
• More at www.fna.fi/blog
16. Common centrality measures
Degree: number of links
Closeness: distance to other
nodes via shortest paths
Betweenness: number of shortest
paths going through the node
Eigenvector: nodes that are linked by
other important nodes are more
central, probability of a random process
17. Centrality depends on
network process
Trajectory geodesic paths, paths, trails or walks
Transmission parallel/serial duplication or transfer
Source: Borgatti (2004)
17
18. Components
The GWCC has a ‘Giant
Strongly Connected
.. a ‘Giant In Component’ (each
And several
Component’ (which node can reach each
disconnected
flows into GSCC) other)
components
.. and a ‘Giant Out
Component’ (to
which GSCC flows)
Empirical networks
often consist of a ‘Giant
Weakly Connected
Component’ 18
19. Intelligence
• Can we algorithmically detect financial crisis? Payment data
as early warning tool?
• Financial crisis are different and rare. The patterns to be
recognized must be frequent enough for computers to learn
• Pattern recognition is hard for computers -> the best Go
programs only manage to reach an intermediate amateur
level
• A solution is to augment human intelligence
(in contrast to AI)
• Intelligence amplification (William Ross Ashby 1956)
20. Tools
• Pajek, Universty of Ljublana, Slovenia
– Focus on social network analysis of large networks
– pajek.imfm.si
• Gephi, Gephi Foundation, France
– Focus on graph visualisation “Like Photoshop for graphs”
– www.gephi.org
• FNA, Soramaki Networks, Finland
– Focus on Financial/Payment Networks, time-series, dashboards
– www.fna.fi
• Many others
– Cytoscape, Graphviz, Network Workbench, NodeXL, ORA, Tableau, Ucinet,
Visone, etc.