International Business Machines Corporation

Saurabh Bhola

Gary Denner

Rohit Jain

Mark Crosbie

Daniel C Gurney

Michael J Loughran

John B Meade

Paula M Keohan

An approach is provided in which a risk assessment is performed that accesses the risk to a user of an information handling system due to the user's link to a social network contact. Risky action values is received with the values corresponding to the social network contact. A risk level is calculated with the risk level corresponding to one or more of the risky action values. A preventative security action is then performed based on the calculated risk level. In another embodiment, an approach is provided in which the potential risks posed by a user are transmitted to the user's social network contacts. In this approach, potentially risky actions that are performed by the user are detected. Risky action values are identified that correspond to the detected potentially risky actions. The risky action values are then transmitted to the user's social network contacts over a computer network.

Assessing social risk due to exposure from linked contacts

Techniques are disclosed for managing development of a model set comprised of one or more object models by a plurality of model developers. Each model developer may be considered an interested party. For example, when a model developer changes an area of the model, that person becomes the most interested party in other changes made to the same area. An automated mechanism is provided to track changes made to the model set and informs interested parties as changes are made or after changes are made to the model based on a weighting system. In one embodiment, the weighting system may be based on a distance from the changed portions and on the amount of time since a party last made a change to the same area.

Management and notification of object model changes

An approach is provided in receiving risk feedback from a social network. Feedback transmissions are received by a user's system with each of the feedback transmissions being received over a computer network from a social network contact. The received feedback transmissions are analyzed and, based on the analysis, a risky action that was performed by the user is identified. The user performs a risk avoidance measure to counteract the identified risky action. In one embodiment, the risk avoidance measure is reported back to the user's contacts.

Receiving security risk feedback from linked contacts due to a user's system actions and behaviors

Provided are techniques for displaying the model objects in models in a models stack. In response to a model object in a model of the models stack being selected as an initial context, one or more navigation paths associated with the selected model object are displayed, wherein each of the navigation paths has nodes represented as graphical components that are built in real time. In response to a user selecting a node in one of the one or more navigation paths, a new model object represented by the selected node in the models stack is navigated to in one of a forward direction and a backward direction to provide bidirectional navigation between the model objects in the models without loosing the initial context and one or more navigation paths associated with the new model object and at least one appended node that represents a previously traversed model object are displayed.

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Drogheda, Ireland

Saurabh Bhola