Use Cases Crime

 

Use Case Crime

Investigation, Fighting and Visualization

Crime Fighting today: More than ever before, journalists, politicians, police, intelligence services and justice departments are challenged to fight against money laundering and financing/recruiting/planning of other criminal intents in a collective, global and agile way.

We provide tight networking and direct agile interaction for investigations, fighting and presentation of complex criminal organization structures, as well.

Our products combine visualization with communication and interaction. They foster networking and enable working most efficiently in any agile enterprise or community: Social Toolset bundles these solutions.

On this page, you will find two crime-related use cases:

  • Case #1: The Panama Papers

  • Case #2: Agile Ways of Fighting Terrorism

We kept it short and we reduced complexity. The goal: You just should get an idea, how helpful it is, to use our apps - in such or similar cases, agile interaction in visualized complex networks, embedded in contextual information. Moreover, individuals, organizations - or parts of it - are linked with particular profile pages, containing our apps.

Description Money Laundering

 

Case #1 - The Panama Papers
Investigative Journalism: Agile Ways for Fighting Tax Fraud and Money Laundering

The Panama Papers is a common known example for an investigative journalism project, run by ICIJ, the International Consortium of Investigative Journalists. The network is complex, the case is global and many personal players and organizations are involved to prove the power of our apps.

Due to the complexity and the nature of such a use case page, we set the focus to an Iceland journalist - working for the fictive "The Mirror" newspaper - and its respective investigations, focussing to Iceland ex premier Gunnlaugsson, which was running the tax fraud vehicle Wintric Inc., founded under support of Mossack Fonseca.

Note: Our apps provide great navigation and interaction in such a network, but it is also intended to be used for data representation, in our case for news agencies papers. It is embedded in the collaboration context of Liferay and benefits of professional implementations of its CMS, DMS, Workflow Engine and more. Every single node is linked to its own profile page, for individuals, organizations and communities. Social Toolset is embeddable into these profile pages and the apps are displaying suitable information, context related and automatically. Moreover, thanks to rich customization features, the apps can be included on any page to aggregate information.

Scenario, as presented on this page, consists of screenshots of the following graphs:

  • Graph #1: Investigative Journalist from Iceland
  • Graph #2: Panama Papers, the investigative project by ICIJ
  • Graph #3: Mossack Fonseca (Mossfon), criminal law firm at the core
  • Graph #4: Wintric, a tax fraud vehicle by Iceland's ex premier

 

PP Wikipedia Embed

Panama Papers - Wikipedia

The Panama Papers are 11.5 million leaked documents that detail financial and attorney-client information for more than 214,488 offshore entities. The documents, some dating back to the 1970s, were created by, and taken from, Panamanian law firm and corporate service provider Mossack Fonseca, and were leaked in 2015 by an anonymous source.

Enterprise Know How Blog, Jul 2017
As from 2018, the AEOI (Automatic Exchange of Information), defined under the aegis of the OECD, will come into force between Switzerland and the EU, and is expected to come into force as from 2019 between the largest of the offshore wealth managers – Switzerland and Singapore.
Would, therefore, all beneficial owners of trusts and other vehicles be identified worldwide? On the contrary, they will look for loopholes similar to the findings from the Panama Papers and obtain timely advice from “honorable” international tax optimization firms.
The close coordination of combating tax avoidance by government agencies, regulators, international alliances, NGOs, financial intermediaries and, last but not least, whistle-blowers, is more important than ever for state budgets. We enable a high level of networking and direct agile interaction, as well as the graphical depiction of complex organizational constructs and documentation about the suspects.

Read full blog post 

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Graph #1

Investigative Journalist's Personal Graph

Icelandic Journalist, we call him "Money Laundering Investigator", is employed by Iceland's newspaper "The Mirror", one of the media partners of ICIJ. Despite the focus of this use case, The Panama Papers, however, the Paradise Papers, another investigative project is also mentioned and included in the graph in order to indicate the capability of running and handling multiple projects in parallel.

The journalist uses his personal network for such an investigation. The local (Iceland) part of his network and the global part as well, especially to share knowledge with his other journalist colleagues, members of the ICIJ general group "Journalists" (contained in the graph) and Panama Papers group "PP Journalists".


 

Graph #2

The Panama Papers Project

This graph provides a good overview of the Panama Papers case. It includes the criminal engine, Mossack Fonseca and other players with focus to Iceland. So you find Landsbanki Luxembourg closely affiliated to Wintris Inc., owned by ex premier Gunlaugsson and his wife Pálsdóttir. Background information to the case is contained in the Wikipedia widget, on the right side of this page.

Please note, the model of the Panama Papers project structure, as we did, is just for illustration and reduced to the Iceland's scope. Seen in a global context, the project may be divided in sub sections.  It contains - beside the "PP Journalists" community, the following other groups:

  • PP Blamed VIPs: some of them from the government, as ex premier Gunnlaugsson
  • PP Blamed Organizations: one of them is Wintric Inc., as shown in Graph #4
  • PP Influencers: different individuals 

 

 

Graph #3

The core, Mossack Fonseca - Panamanian law firm and corporate service provider

Mossack Fonseca's slogan "Taxes are for poor people" says everything of ethic qualification of this company, including its business partners and corporate and individual clients.

Due to a massive leak, which contains tons of documents, such a business network was able to be identified. Once again, we simplified this network and this graph just intend to give you an idea, how to navigate such a network and how helpful it is - not only for journos - to have such a tool at the fingertips: both, for representation and for interaction purposes with including all benefits of Liferay portal system.

Graph #4

Wintric Inc. - a tax fraud vehicle

Wintris Inc. was Iceland's ex premier's (and his wife's) tax fraud vehicle. It veils "dirty business" with Landsbanki Iceland and its representation in Luxembourg, directly connected to Mossack Fonseca.

 

Case #2 - Agile Ways of Fighting Terrorism

Fighting Terrorism today: More than ever, politicians, police, intelligence services and justice departments are challenged to fight against the financing, recruiting and planning of terror attacks in a collective, global and agile way.

We provide tight networking and direct agile interaction for fighting terrorism and the drawing of complex terror organization structures, as well.

Scenario

We refer to the shocking Berlin Weihnachtsmarkt Truck Attack 2016 and islamic terrorist's Amri's neutralization by regular police forces, four days later at train station in Sesto San Giovanni near Milan, Italy. While Sesto San Giovanni is a known hotspot for the North African Community, the Islamic Cultural Center (with integrated Mosque) has a history of controversial activities including affiliation and cooperation with extremists and terrorists.

  • Places
    • Sesto San Giovanni, near Milan
      • Islamic Cultural Center with Mosque: suspected
      • Train Station: place of Amri's neutralization by shooting
  • Individuals
    • Anis Amri: assassin Weihnachtsmarkt
    • Luca Scatà and Christian Movio: regular police forces, who neutralized Amri

Social Graph


Social Map

V I S I B I L I T Y
 User  Organization

Manhunt

Exemplary: Inclusion of local authorities in manhunt

The broad manhunt includes numberless police authorities, cross over countries and down to Switzerland's region of Zurich, for example. Finally, the huge investigation network led to success. This screenshot illustrates, how to setup and display networks with Social Toolset. Of course, the graph is reduced and is focussed to Switzerland.

Background

2016 Berlin truck attack - Wikipedia

On 19 December 2016, at 20:02 local time, the perpetrator drove the stolen truck through a Christmas market at Breitscheidplatz in the City West of Berlin, killing 11 people and injuring 56. The incident is the deadliest terrorist attack in Germany since an attack at Oktoberfest in Munich in 1980, which killed 13 people and injured 211 others.

Note

Social Graph / Restricted Demo Mode

  • Opening profile pages (individuals and organizations) has been disabled
  • Works with a contextual preset

Try out

 Data Digging

Get more insights by digging. Each taxonomy (e.g. "Recruitment") is now open for exploration: just click button below and you get all items within the same category. Combine graphs that way and you will dig up values never easier than before.



Adding Graphs

Add any full graph of individuals or organizations to the current visualization. Context menu provides adding a graph to the current view or to a separate tab view.

How to use

Using our apps

  • Social Graph 
    • Click on a user or organization node, to get detail information.
    • Menu with node actions
      • Click on the menu icon  on the right side, to display the action menu.
      • Right click opens context menu, select from provided actions.
    • Opening another user's or organization's profile page:
      • Double click on node.
      • Select action from context menu.
      • Click on image in the information pane.
  • Social Map
    • Click on location to get detail information.
    • Select action from address list (on the bottom of Social Map).
  • All apps: Click Help Button   to get more instructions.

Terminology

  • Graph: Social Graph displays a network graph containing nodes and edges being connected.
  • Node: An individual, an organization, a community or a category on the graph.
  • Edge: Nodes are connected by edges. An edge represents a relationship (affiliation) between two nodes. Edges may be labelled with the type of relationship (e.g. a role name for an individual, or the direction of ordination between organization units).
  • Loose and tight affiliations: Edges between organizations may have a solid (=tight affiliation) or dotted (=loose affiliation) line stroke. Tight affiliations are regulary top/down hierarchical constructs while loose affiliations, known as Dotted Line, represents agile constructs with - for example - having undirected connections, or multiple parental elements. For a better understanding, we recommend to visit Social Graph's product page and the Use Case Army page, containing a video.
  • Categories: Organization nodes are categorized by two levels. 1st level is the dimension (B2E, B2B or B2C), 2nd level is the subordinated category. 1st level categories are labelled with black background, while 2nd level categories are displayed with a grey background.