GRAPH VISUALIZATION

Linkurious helps organizations fight fraud, money-laundering, cyber-security and crimes with a detection and investigation platform for the visualization and analysis of connected data. LINKURIOUS DOCUMENTATION Linkurious documentation. User manual. Learn how to use Linkurious Enterprise. Administration manual. Learn how to setup and configure Linkurious Enterprise. REST API documentation. Learn how to develop applications with the REST API of Linkurious Enterprise. Ogma documentation. Learn how to embed rich interactive graph visualizations into your HOW TO TRACK AND VISUALIZE DATA LINEAGE Track and visualize data lineage today with Linkurious Enterprise. Approaching data lineage from the graph perspective is a way of tackling the challenges faced by organizations. By bringing the data silos into an holistic view of connected entities, graph technology like Neo4j and Linkurious Enterprise are helping analysts take control

of

ANTI-MONEY LAUNDERING USE CASES FOR GRAPH ANALYTICSSEE MORE ON

LINKURIO.US

EXPLORE SALESFORCE CRM CONNECTED DATA WITH LINKURIOUS In this blog post, our partner Arctan Analytics explains how they integrated Linkurious with Salesforce’s Customer Relationship Management (CRM) solutions to leverage the power of graph analysis. Arctan Analytics is a boutique consulting firm based out of Singapore specializing on converting Data and Analytics into tangible business

value.

GRAPH VIZ 101: WHY EXPLORATORY NETWORK ANALYSIS? Graph Viz 101 provides an introduction to the most common approaches for the visual exploratory analysis of networks, intended for beginners. We will firstly focus on the importance of visualization for ENA. Then we will give an overview of the whole ENA processing chain. We will split the visual exploration into two distinct

approaches: the

3 TYPES OF FRAUD GRAPH ANALYTICS CAN HELP DEFEAT 3 types of fraud graph analytics can help defeat. Organizations across industries are adopting graph analytics to reinforce their anti-fraud programs. In this post, we examine three types of fraud graph analytics can help investigators combat: insurance fraud, credit card

fraud, VAT fraud.

LINKURIOUS REST API EXAMPLES Linkurious REST API Examples. In this document you will learn how to use the Linkurious Enterprise server APIs. Each section describes a new topic along with a code example that can be executed by clicking the button Run code.. During these examples we will send AJAX requests with a helper library called request. CONFIGURING DATA-SOURCES Configuring data-sources. A data-source is a conceptual representation of a graph database within Linkurious Enterprise. Visualizations and other user data created within Linkurious Enterprise will be associated their respective data-source. Every data-source is uniquely identified with a sourceKey , a string computed from the url and the

store

USING NETWORK VISUALIZATION TO UNDERSTAND HOW DISEASES Vax, a free online game, lets you explore how disease spread through a network. It is a fun way to learn about network theory and the importance of vaccines! Capture from Vax : the red dot is an infected person. The game has been developed by the Salathé Group. It relies on network visualization to explain how diseases spread.

GRAPH VISUALIZATION

Linkurious helps organizations fight fraud, money-laundering, cyber-security and crimes with a detection and investigation platform for the visualization and analysis of connected data. LINKURIOUS DOCUMENTATION Linkurious documentation. User manual. Learn how to use Linkurious Enterprise. Administration manual. Learn how to setup and configure Linkurious Enterprise. REST API documentation. Learn how to develop applications with the REST API of Linkurious Enterprise. Ogma documentation. Learn how to embed rich interactive graph visualizations into your HOW TO TRACK AND VISUALIZE DATA LINEAGE Track and visualize data lineage today with Linkurious Enterprise. Approaching data lineage from the graph perspective is a way of tackling the challenges faced by organizations. By bringing the data silos into an holistic view of connected entities, graph technology like Neo4j and Linkurious Enterprise are helping analysts take control

of

ANTI-MONEY LAUNDERING USE CASES FOR GRAPH ANALYTICSSEE MORE ON

LINKURIO.US

EXPLORE SALESFORCE CRM CONNECTED DATA WITH LINKURIOUS In this blog post, our partner Arctan Analytics explains how they integrated Linkurious with Salesforce’s Customer Relationship Management (CRM) solutions to leverage the power of graph analysis. Arctan Analytics is a boutique consulting firm based out of Singapore specializing on converting Data and Analytics into tangible business

value.

GRAPH VIZ 101: WHY EXPLORATORY NETWORK ANALYSIS? Graph Viz 101 provides an introduction to the most common approaches for the visual exploratory analysis of networks, intended for beginners. We will firstly focus on the importance of visualization for ENA. Then we will give an overview of the whole ENA processing chain. We will split the visual exploration into two distinct

approaches: the

3 TYPES OF FRAUD GRAPH ANALYTICS CAN HELP DEFEAT 3 types of fraud graph analytics can help defeat. Organizations across industries are adopting graph analytics to reinforce their anti-fraud programs. In this post, we examine three types of fraud graph analytics can help investigators combat: insurance fraud, credit card

fraud, VAT fraud.

LINKURIOUS REST API EXAMPLES Linkurious REST API Examples. In this document you will learn how to use the Linkurious Enterprise server APIs. Each section describes a new topic along with a code example that can be executed by clicking the button Run code.. During these examples we will send AJAX requests with a helper library called request. CONFIGURING DATA-SOURCES Configuring data-sources. A data-source is a conceptual representation of a graph database within Linkurious Enterprise. Visualizations and other user data created within Linkurious Enterprise will be associated their respective data-source. Every data-source is uniquely identified with a sourceKey , a string computed from the url and the

store

USING NETWORK VISUALIZATION TO UNDERSTAND HOW DISEASES Vax, a free online game, lets you explore how disease spread through a network. It is a fun way to learn about network theory and the importance of vaccines! Capture from Vax : the red dot is an infected person. The game has been developed by the Salathé Group. It relies on network visualization to explain how diseases spread. LINKURIOUS DOCUMENTATION Linkurious documentation. User manual. Learn how to use Linkurious Enterprise. Administration manual. Learn how to setup and configure Linkurious Enterprise. REST API documentation. Learn how to develop applications with the REST API of Linkurious Enterprise. Ogma documentation. Learn how to embed rich interactive graph visualizations into your EXPLORE SALESFORCE CRM CONNECTED DATA WITH LINKURIOUS In this blog post, our partner Arctan Analytics explains how they integrated Linkurious with Salesforce’s Customer Relationship Management (CRM) solutions to leverage the power of graph analysis. Arctan Analytics is a boutique consulting firm based out of Singapore specializing on converting Data and Analytics into tangible business

value.

CONFIGURING DATA-SOURCES: ADVANCED SETTINGS extraCertificateAuthorities: The relative or absolute path to a PEM file. When set, the well known "root" CAs (like LetsEncrypt) will be extended with the extra certificates in the file. The file should consist of one or more trusted certificates in the PEM format . If the path is relative, the file should be located within the

linkurious/data

3 TYPES OF FRAUD GRAPH ANALYTICS CAN HELP DEFEAT 3 types of fraud graph analytics can help defeat. Organizations across industries are adopting graph analytics to reinforce their anti-fraud programs. In this post, we examine three types of fraud graph analytics can help investigators combat: insurance fraud, credit card

fraud, VAT fraud.

CONFIGURING DATA-SOURCES Configuring data-sources. A data-source is a conceptual representation of a graph database within Linkurious Enterprise. Visualizations and other user data created within Linkurious Enterprise will be associated their respective data-source. Every data-source is uniquely identified with a sourceKey , a string computed from the url and the

store

INVESTIGATING A MONEY LAUNDERING SCHEME According to Wikipedia, money laundering is the process in which the proceeds of crime are transformed into ostensibly legitimate money or other assets. It involves 3 steps : placement, layering and integration. The money laundering process. For criminal investigators, an anti money laundering investigation means following the trail of

money

REINFORCING AML ANALYSIS SYSTEMS WITH GRAPH TECHNOLOGIES Reinforcing AML analysis systems with graph technologies. Fighting financial crime is a daily battle worldwide. Organizations must deploy intelligent systems to prevent and detect wrongdoings, such as anti-money laundering (AML) control frameworks. We’ll see in this blog post how graph technologies can reinforce these systems. LINKEDIN INMAPS DISCONTINUED: HOW TO VISUALIZE YOUR Linkedin inMaps discontinued: how to visualize your professional network now? Posted on August 27, 2014; by jean; in Tutorial Some functions of the Linkedin API mentioned in the following article were

depreciated.

USING NEO4J TO BUILD A RECOMMENDATION ENGINE BASED ON Using Neo4j to build a recommendation engine based on collaborative filtering. Posted on May 15, 2014; by jean; in Tutorial; We have see recently how to use a Neo4j database to run a recommendation engine for an online dating site (or for any recommendation problem). Today, we are going to see a different approach to that same problem based on collaborative filtering. INVESTIGATING ENRON'S EMAIL CORPUS: THE TRAIL OF TIM Investigating Tim Belden’s network. Tim Belden, the head of trading at Enron, was one of the first executives to be prosecuted and to admit wrongdoings at Enron. He pled guilty on charges of conspiracy to commit wire fraud as part of a plea bargain and agreed to cooperate with the authorities to help convict many top Enron executives.

GRAPH VISUALIZATION

Linkurious helps organizations fight fraud, money-laundering, cyber-security and crimes with a detection and investigation platform for the visualization and analysis of connected data. GRAPH VISUALIZATION SOFTWARE With built-in support for the leading graph databases, Linkurious Enterprise brings your various data sources into a single comprehensive view. You get a complete picture, eliminating blind spots and reducing the time spent tracking information scattered in multiple tools or silos. The combination of Neo4j and Linkurious

supercharges

LINKURIOUS DOCUMENTATION Linkurious documentation. User manual. Learn how to use Linkurious Enterprise. Administration manual. Learn how to setup and configure Linkurious Enterprise. REST API documentation. Learn how to develop applications with the REST API of Linkurious Enterprise. Ogma documentation. Learn how to embed rich interactive graph visualizations into your HOW TO TRACK AND VISUALIZE DATA LINEAGE Track and visualize data lineage today with Linkurious Enterprise. Approaching data lineage from the graph perspective is a way of tackling the challenges faced by organizations. By bringing the data silos into an holistic view of connected entities, graph technology like Neo4j and Linkurious Enterprise are helping analysts take control

of

ANTI-MONEY LAUNDERING USE CASES FOR GRAPH ANALYTICSSEE MORE ON

LINKURIO.US

REINFORCING AML ANALYSIS SYSTEMS WITH GRAPH TECHNOLOGIESSEE MORE ON

LINKURIO.US

CONFIGURING DATA-SOURCES: ADVANCED SETTINGS extraCertificateAuthorities: The relative or absolute path to a PEM file. When set, the well known "root" CAs (like LetsEncrypt) will be extended with the extra certificates in the file. The file should consist of one or more trusted certificates in the PEM format . If the path is relative, the file should be located within the

linkurious/data

INVESTIGATING ENRON'S EMAIL CORPUS: THE TRAIL OF TIM Investigating Tim Belden’s network. Tim Belden, the head of trading at Enron, was one of the first executives to be prosecuted and to admit wrongdoings at Enron. He pled guilty on charges of conspiracy to commit wire fraud as part of a plea bargain and agreed to cooperate with the authorities to help convict many top Enron executives. CONFIGURING DATA-SOURCES Configuring data-sources. A data-source is a conceptual representation of a graph database within Linkurious Enterprise. Visualizations and other user data created within Linkurious Enterprise will be associated their respective data-source. Every data-source is uniquely identified with a sourceKey , a string computed from the url and the

store

LINKEDIN INMAPS DISCONTINUED: HOW TO VISUALIZE YOUR Linkedin inMaps discontinued: how to visualize your professional network now? Posted on August 27, 2014; by jean; in Tutorial Some functions of the Linkedin API mentioned in the following article were

depreciated.

GRAPH VISUALIZATION

Linkurious helps organizations fight fraud, money-laundering, cyber-security and crimes with a detection and investigation platform for the visualization and analysis of connected data. GRAPH VISUALIZATION SOFTWARE With built-in support for the leading graph databases, Linkurious Enterprise brings your various data sources into a single comprehensive view. You get a complete picture, eliminating blind spots and reducing the time spent tracking information scattered in multiple tools or silos. The combination of Neo4j and Linkurious

supercharges

LINKURIOUS DOCUMENTATION Linkurious documentation. User manual. Learn how to use Linkurious Enterprise. Administration manual. Learn how to setup and configure Linkurious Enterprise. REST API documentation. Learn how to develop applications with the REST API of Linkurious Enterprise. Ogma documentation. Learn how to embed rich interactive graph visualizations into your HOW TO TRACK AND VISUALIZE DATA LINEAGE Track and visualize data lineage today with Linkurious Enterprise. Approaching data lineage from the graph perspective is a way of tackling the challenges faced by organizations. By bringing the data silos into an holistic view of connected entities, graph technology like Neo4j and Linkurious Enterprise are helping analysts take control

of

ANTI-MONEY LAUNDERING USE CASES FOR GRAPH ANALYTICSSEE MORE ON

LINKURIO.US

REINFORCING AML ANALYSIS SYSTEMS WITH GRAPH TECHNOLOGIESSEE MORE ON

LINKURIO.US

CONFIGURING DATA-SOURCES: ADVANCED SETTINGS extraCertificateAuthorities: The relative or absolute path to a PEM file. When set, the well known "root" CAs (like LetsEncrypt) will be extended with the extra certificates in the file. The file should consist of one or more trusted certificates in the PEM format . If the path is relative, the file should be located within the

linkurious/data

INVESTIGATING ENRON'S EMAIL CORPUS: THE TRAIL OF TIM Investigating Tim Belden’s network. Tim Belden, the head of trading at Enron, was one of the first executives to be prosecuted and to admit wrongdoings at Enron. He pled guilty on charges of conspiracy to commit wire fraud as part of a plea bargain and agreed to cooperate with the authorities to help convict many top Enron executives. CONFIGURING DATA-SOURCES Configuring data-sources. A data-source is a conceptual representation of a graph database within Linkurious Enterprise. Visualizations and other user data created within Linkurious Enterprise will be associated their respective data-source. Every data-source is uniquely identified with a sourceKey , a string computed from the url and the

store

LINKEDIN INMAPS DISCONTINUED: HOW TO VISUALIZE YOUR Linkedin inMaps discontinued: how to visualize your professional network now? Posted on August 27, 2014; by jean; in Tutorial Some functions of the Linkedin API mentioned in the following article were

depreciated.

NEO4J VISUALIZATION

Through its graph visualization interface, Linkurious Enterprise allows non-technical users to search, visualize and edit data stored in Neo4j. Users leverage rich visualizations of data and graph analysis features to expose connections, unveil patterns of interest and find hidden insights. LINKURIOUS ADMINISTRATION MANUAL Linkurious administration manual. Welcome to the Linkurious Enterprise administrator documentation. This documentation will help you install, run and customize Linkurious Enterprise. CONFIGURING DATA-SOURCES: ADVANCED SETTINGS extraCertificateAuthorities: The relative or absolute path to a PEM file. When set, the well known "root" CAs (like LetsEncrypt) will be extended with the extra certificates in the file. The file should consist of one or more trusted certificates in the PEM format . If the path is relative, the file should be located within the

linkurious/data

INVESTIGATING A MONEY LAUNDERING SCHEME According to Wikipedia, money laundering is the process in which the proceeds of crime are transformed into ostensibly legitimate money or other assets. It involves 3 steps : placement, layering and integration. The money laundering process. For criminal investigators, an anti money laundering investigation means following the trail of

money

CONFIGURING DATA-SOURCES Configuring data-sources. A data-source is a conceptual representation of a graph database within Linkurious Enterprise. Visualizations and other user data created within Linkurious Enterprise will be associated their respective data-source. Every data-source is uniquely identified with a sourceKey , a string computed from the url and the

store

VAT FRAUD : THE MYSTERIOUS CASE OF THE MISSING TRADER VAT fraud : the mysterious case of the missing trader. Posted on March 25, 2019; by jean; in Use case; We have explored in the past how businesses are targeted by fraud schemes.Countries too are victims of fraud. In Europe the Value Added Tax (VAT) is manipulated by GRAPH VIZ 101: WHY EXPLORATORY NETWORK ANALYSIS? Graph Viz 101 provides an introduction to the most common approaches for the visual exploratory analysis of networks, intended for beginners. We will firstly focus on the importance of visualization for ENA. Then we will give an overview of the whole ENA processing chain. We will split the visual exploration into two distinct

approaches: the

3 TYPES OF FRAUD GRAPH ANALYTICS CAN HELP DEFEAT 3 types of fraud graph analytics can help defeat. Organizations across industries are adopting graph analytics to reinforce their anti-fraud programs. In this post, we examine three types of fraud graph analytics can help investigators combat: insurance fraud, credit card

fraud, VAT fraud.

INVESTIGATING ENRON'S EMAIL CORPUS: THE TRAIL OF TIM Investigating Tim Belden’s network. Tim Belden, the head of trading at Enron, was one of the first executives to be prosecuted and to admit wrongdoings at Enron. He pled guilty on charges of conspiracy to commit wire fraud as part of a plea bargain and agreed to cooperate with the authorities to help convict many top Enron executives. HOW TO VISUALIZE YOUR FACEBOOK NETWORK How to visualize your Facebook network. Posted on June 15, 2015; by jean; in Tutorial; Facebook knows the social network of more than a billion persons. If you are a Facebook user though, you have little tools to explore your own social network. We are going to see how, with a few scraping tools, a Neo4j graph database and Linkurious, we can visualize our Facebook network.

GRAPH VISUALIZATION

Linkurious helps organizations fight fraud, money-laundering, cyber-security and crimes with a detection and investigation platform for the visualization and analysis of connected data. LINKURIOUS DOCUMENTATION Linkurious documentation. User manual. Learn how to use Linkurious Enterprise. Administration manual. Learn how to setup and configure Linkurious Enterprise. REST API documentation. Learn how to develop applications with the REST API of Linkurious Enterprise. Ogma documentation. Learn how to embed rich interactive graph visualizations into your GETTING STARTED: DOWNLOADING Getting started: Downloading Where to download from. The latest version of Linkurious Enterprise can be downloaded from https://get.linkurio.us/.. Log in with the username and password created during the purchase process and then go to the download section for the specific license (in case of multiple one), it will be possible to download the package for the correct platform. HOW TO TRACK AND VISUALIZE DATA LINEAGE Track and visualize data lineage today with Linkurious Enterprise. Approaching data lineage from the graph perspective is a way of tackling the challenges faced by organizations. By bringing the data silos into an holistic view of connected entities, graph technology like Neo4j and Linkurious Enterprise are helping analysts take control

of

GRAPH VIZ 101: WHY EXPLORATORY NETWORK ANALYSIS? Graph Viz 101 provides an introduction to the most common approaches for the visual exploratory analysis of networks, intended for beginners. We will firstly focus on the importance of visualization for ENA. Then we will give an overview of the whole ENA processing chain. We will split the visual exploration into two distinct

approaches: the

EXPLORE SALESFORCE CRM CONNECTED DATA WITH LINKURIOUS In this blog post, our partner Arctan Analytics explains how they integrated Linkurious with Salesforce’s Customer Relationship Management (CRM) solutions to leverage the power of graph analysis. Arctan Analytics is a boutique consulting firm based out of Singapore specializing on converting Data and Analytics into tangible business

value.

CONFIGURING DATA-SOURCES: ADVANCED SETTINGS extraCertificateAuthorities: The relative or absolute path to a PEM file. When set, the well known "root" CAs (like LetsEncrypt) will be extended with the extra certificates in the file. The file should consist of one or more trusted certificates in the PEM format . If the path is relative, the file should be located within the

linkurious/data

LINKURIOUS REST API EXAMPLES Linkurious REST API Examples. In this document you will learn how to use the Linkurious Enterprise server APIs. Each section describes a new topic along with a code example that can be executed by clicking the button Run code.. During these examples we will send AJAX requests with a helper library called request. CONFIGURING DATA-SOURCES Configuring data-sources. A data-source is a conceptual representation of a graph database within Linkurious Enterprise. Visualizations and other user data created within Linkurious Enterprise will be associated their respective data-source. Every data-source is uniquely identified with a sourceKey , a string computed from the url and the

store

USING NETWORK VISUALIZATION TO UNDERSTAND HOW DISEASES Vax, a free online game, lets you explore how disease spread through a network. It is a fun way to learn about network theory and the importance of vaccines! Capture from Vax : the red dot is an infected person. The game has been developed by the Salathé Group. It relies on network visualization to explain how diseases spread.

GRAPH VISUALIZATION

Linkurious helps organizations fight fraud, money-laundering, cyber-security and crimes with a detection and investigation platform for the visualization and analysis of connected data. LINKURIOUS DOCUMENTATION Linkurious documentation. User manual. Learn how to use Linkurious Enterprise. Administration manual. Learn how to setup and configure Linkurious Enterprise. REST API documentation. Learn how to develop applications with the REST API of Linkurious Enterprise. Ogma documentation. Learn how to embed rich interactive graph visualizations into your GETTING STARTED: DOWNLOADING Getting started: Downloading Where to download from. The latest version of Linkurious Enterprise can be downloaded from https://get.linkurio.us/.. Log in with the username and password created during the purchase process and then go to the download section for the specific license (in case of multiple one), it will be possible to download the package for the correct platform. HOW TO TRACK AND VISUALIZE DATA LINEAGE Track and visualize data lineage today with Linkurious Enterprise. Approaching data lineage from the graph perspective is a way of tackling the challenges faced by organizations. By bringing the data silos into an holistic view of connected entities, graph technology like Neo4j and Linkurious Enterprise are helping analysts take control

of

GRAPH VIZ 101: WHY EXPLORATORY NETWORK ANALYSIS? Graph Viz 101 provides an introduction to the most common approaches for the visual exploratory analysis of networks, intended for beginners. We will firstly focus on the importance of visualization for ENA. Then we will give an overview of the whole ENA processing chain. We will split the visual exploration into two distinct

approaches: the

EXPLORE SALESFORCE CRM CONNECTED DATA WITH LINKURIOUS In this blog post, our partner Arctan Analytics explains how they integrated Linkurious with Salesforce’s Customer Relationship Management (CRM) solutions to leverage the power of graph analysis. Arctan Analytics is a boutique consulting firm based out of Singapore specializing on converting Data and Analytics into tangible business

value.

CONFIGURING DATA-SOURCES: ADVANCED SETTINGS extraCertificateAuthorities: The relative or absolute path to a PEM file. When set, the well known "root" CAs (like LetsEncrypt) will be extended with the extra certificates in the file. The file should consist of one or more trusted certificates in the PEM format . If the path is relative, the file should be located within the

linkurious/data

LINKURIOUS REST API EXAMPLES Linkurious REST API Examples. In this document you will learn how to use the Linkurious Enterprise server APIs. Each section describes a new topic along with a code example that can be executed by clicking the button Run code.. During these examples we will send AJAX requests with a helper library called request. CONFIGURING DATA-SOURCES Configuring data-sources. A data-source is a conceptual representation of a graph database within Linkurious Enterprise. Visualizations and other user data created within Linkurious Enterprise will be associated their respective data-source. Every data-source is uniquely identified with a sourceKey , a string computed from the url and the

store

USING NETWORK VISUALIZATION TO UNDERSTAND HOW DISEASES Vax, a free online game, lets you explore how disease spread through a network. It is a fun way to learn about network theory and the importance of vaccines! Capture from Vax : the red dot is an infected person. The game has been developed by the Salathé Group. It relies on network visualization to explain how diseases spread. LINKURIOUS DOCUMENTATION Linkurious documentation. User manual. Learn how to use Linkurious Enterprise. Administration manual. Learn how to setup and configure Linkurious Enterprise. REST API documentation. Learn how to develop applications with the REST API of Linkurious Enterprise. Ogma documentation. Learn how to embed rich interactive graph visualizations into your GRAPH-BASED INTELLIGENCE ANALYSIS In the end, graph technology offers several advantages to intelligence and law enforcement agencies. It provides a single entry point to multiple data sources and data types that are integrated under a unique model. Analysts can produce intelligence from the analysis of heterogeneous data and its connections. Introducing graph databases

into an

ANTI-MONEY LAUNDERING USE CASES FOR GRAPH ANALYTICS Anti-money laundering (AML) and graph analytics is a match made in heaven. A lot of anti-money laundering use cases require identifying suspicious connections whereas graph analytics is designed to analyze complex connections from big data at scale. In this article we will provide a series of examples where graph analytics can be used to

fight

3 TYPES OF FRAUD GRAPH ANALYTICS CAN HELP DEFEAT 3 types of fraud graph analytics can help defeat. Organizations across industries are adopting graph analytics to reinforce their anti-fraud programs. In this post, we examine three types of fraud graph analytics can help investigators combat: insurance fraud, credit card

fraud, VAT fraud.

CONFIGURING DATA-SOURCES: ADVANCED SETTINGS extraCertificateAuthorities: The relative or absolute path to a PEM file. When set, the well known "root" CAs (like LetsEncrypt) will be extended with the extra certificates in the file. The file should consist of one or more trusted certificates in the PEM format . If the path is relative, the file should be located within the

linkurious/data

CONFIGURING DATA-SOURCES Configuring data-sources. A data-source is a conceptual representation of a graph database within Linkurious Enterprise. Visualizations and other user data created within Linkurious Enterprise will be associated their respective data-source. Every data-source is uniquely identified with a sourceKey , a string computed from the url and the

store

HOW TO VISUALIZE YOUR FACEBOOK NETWORK How to visualize your Facebook network. Posted on June 15, 2015; by jean; in Tutorial; Facebook knows the social network of more than a billion persons. If you are a Facebook user though, you have little tools to explore your own social network. We are going to see how, with a few scraping tools, a Neo4j graph database and Linkurious, we can visualize our Facebook network. REINFORCING AML ANALYSIS SYSTEMS WITH GRAPH TECHNOLOGIES Reinforcing AML analysis systems with graph technologies. Fighting financial crime is a daily battle worldwide. Organizations must deploy intelligent systems to prevent and detect wrongdoings, such as anti-money laundering (AML) control frameworks. We’ll see in this blog post how graph technologies can reinforce these systems. INVESTIGATING ENRON'S EMAIL CORPUS: THE TRAIL OF TIM Investigating Tim Belden’s network. Tim Belden, the head of trading at Enron, was one of the first executives to be prosecuted and to admit wrongdoings at Enron. He pled guilty on charges of conspiracy to commit wire fraud as part of a plea bargain and agreed to cooperate with the authorities to help convict many top Enron executives. LINKEDIN INMAPS DISCONTINUED: HOW TO VISUALIZE YOUR Linkedin inMaps discontinued: how to visualize your professional network now? Posted on August 27, 2014; by jean; in Tutorial Some functions of the Linkedin API mentioned in the following article were

depreciated.

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Linkurious designs innovative technology that helps you rethink how you work with data. We bring together analytics, graph and data visualization in one platform so you can better detect and investigate

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DETECT SOPHISTICATED THREATS Get a unified view of your data and the relationships it contains. Detect suspicious connections and patterns otherwise hidden in silos or undetectable by traditional rule engines.

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Mar Cabra, head of the Data and Research unit at ICIJ > Linkurious Enterprise was the best solution to uncover persons of > interest and potential stories in a short timeframe during the > Panama Papers investigations.

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