Abstract: A method to communicate a message, the method comprises storing geolocation information pertaining to a user device, the geolocation information identifying a geographic location. A message input request is received at a user device. The stored geolocation information is accessed. Based on the geolocation information, the user device is selectively enabled to generate message content associated with a point of interest, the selective enabling includes presenting a review annotation to the user on a user interface of the user device, the review annotation being modifiable by the user in order to generate the message content to include a modified review annotation.

Abstract: A method to communicate a message, the method comprises storing geolocation information pertaining to a user device, the geolocation information identifying a geographic location. A message input request is received at a user device. The stored geolocation information is accessed. Based on the geolocation information, the user device is selectively enabled to generate message content associated with a point of interest, the selective enabling includes presenting a review annotation to the user on a user interface of the user device, the review annotation being modifiable by the user in order to generate the message content to include a modified review annotation.

Abstract: A method to communicate a message, the method comprises storing geolocation information pertaining to a user device, the geolocation information identifying a geographic location. A message input request is received at a user device. The stored geolocation information is accessed. Based on the geolocation information, the user device is selectively enabled to generate message content associated with a point of interest, the selective enabling includes presenting a review annotation to the user on a user interface of the user device, the review annotation being modifiable by the user in order to generate the message content to include a modified review annotation.

Abstract: The system, method, and computer program product are disclosed that track the evolution of a network over time through the analysis of media corpora associated with nodes of the network at each time slice. The media corpora may be analyzed to generate word clusters for each time slice that are then compared across time slices to determine how the network has evolved. The evolution may be tracked by determining the similarity of each word cluster of a particular time slice to each word cluster of another time slice. The similarity may be measured by a similarity score for each comparison that may be combined to determine an overall similarity of the network between the two time slices.

Abstract: Methods and systems for determining a time dependent relevancy score of an agent node among an evolving heterogeneous network are described. A processor may expand the heterogeneous network by generating temporal heterogeneous networks representing states of the heterogeneous network at different times. The processor may extract a set of agent nodes from each temporal heterogeneous network and may generate a relationship network based on the extracted agent nodes for each temporal heterogeneous network. The processor may remove the agent node from the temporal heterogeneous network to generate a conditional relationship network excluding the removed agent node. The processor may determine a relevancy score for the agent node based on the corresponding relationship network and the conditional relationship network. Each relevancy score for the agent node may correspond to a temporal heterogeneous network and may indicate an impact of removing the agent node from the corresponding temporal heterogeneous network.

Abstract: The system, method, and computer program product are disclosed that track the evolution of a network over time through the analysis of media corpora associated with nodes of the network at each time slice. The media corpora may be analyzed to generate word clusters for each time slice that are then compared across time slices to determine how the network has evolved. The evolution may be tracked by determining the similarity of each word cluster of a particular time slice to each word cluster of another time slice. The similarity may be measured by a similarity score for each comparison that may be combined to determine an overall similarity of the network between the two time slices.

Abstract: Methods and systems for determining a time dependent relevancy score of an agent node among an evolving heterogeneous network are described. A processor may expand the heterogeneous network by generating temporal heterogeneous networks representing states of the heterogeneous network at different times. The processor may extract a set of agent nodes from each temporal heterogeneous network and may generate a relationship network based on the extracted agent nodes for each temporal heterogeneous network. The processor may remove the agent node from the temporal heterogeneous network to generate a conditional relationship network excluding the removed agent node. The processor may determine a relevancy score for the agent node based on the corresponding relationship network and the conditional relationship network. Each relevancy score for the agent node may correspond to a temporal heterogeneous network and may indicate an impact of removing the agent node from the corresponding temporal heterogeneous network.

Abstract: Methods, systems, and computer program products for automatically triggering actions on a user device based on biometrics of nearby individuals are provided herein. A method includes capturing, via one or more sensors resident on a first computing device, one or more items of biometric information from one or more individuals located within a given proximity of the first computing device; determining a degree of proximity of the one or more individuals to the first computing device; transmitting, to a second computing device, (i) the one or more captured items of biometric information from the one or more individuals and (ii) the determined degree of proximity of the one or more individuals to the first computing device; and automatically executing one or more actions on the first computing device based on an instruction provided by the second computing device in response to said transmitting.

Abstract: Methods, systems, and computer program products for automatically triggering actions on a user device based on biometrics of nearby individuals are provided herein. A method includes capturing, via one or more sensors resident on a first computing device, one or more items of biometric information from one or more individuals located within a given proximity of the first computing device; determining a degree of proximity of the one or more individuals to the first computing device; transmitting, to a second computing device, (i) the one or more captured items of biometric information from the one or more individuals and (ii) the determined degree of proximity of the one or more individuals to the first computing device; and automatically executing one or more actions on the first computing device based on an instruction provided by the second computing device in response to said transmitting.

Abstract: Methods and arrangements for discerning collective interests among communities.