Network Visualisation,

network analysis,

Collection Analysis
Histograph is a graph-based exploration and crowd-based indexation for multimedia collections. HistoGraph treats multimedia collections as networks. The underlying assumption is simple: if two people are mentioned together in a document, we assume that they may have something to do with each other. Whether or not such a relationship is interesting is in the eye of the beholder.

Network Visualisation,

network analysis,

Collection Analysis
Histograph is a graph-based exploration and crowd-based indexation for multimedia collections. HistoGraph treats multimedia collections as networks. The underlying assumption is simple: if two people are mentioned together in a document, we assume that they may have something to do with each other. Whether or not such a relationship is interesting is in the eye of the beholder.

Network Visualisation,

network analysis,

Collection Analysis
Histograph is a graph-based exploration and crowd-based indexation for multimedia collections. HistoGraph treats multimedia collections as networks. The underlying assumption is simple: if two people are mentioned together in a document, we assume that they may have something to do with each other. Whether or not such a relationship is interesting is in the eye of the beholder.

Network Visualisation,

network analysis,

Collection Analysis
Histograph is a graph-based exploration and crowd-based indexation for multimedia collections. HistoGraph treats multimedia collections as networks. The underlying assumption is simple: if two people are mentioned together in a document, we assume that they may have something to do with each other. Whether or not such a relationship is interesting is in the eye of the beholder.

Network Visualisation,

network analysis,

Collection Analysis
Histograph is a graph-based exploration and crowd-based indexation for multimedia collections. HistoGraph treats multimedia collections as networks. The underlying assumption is simple: if two people are mentioned together in a document, we assume that they may have something to do with each other. Whether or not such a relationship is interesting is in the eye of the beholder.

Network Visualisation,

network analysis,

Collection Analysis
Histograph is a graph-based exploration and crowd-based indexation for multimedia collections. HistoGraph treats multimedia collections as networks. The underlying assumption is simple: if two people are mentioned together in a document, we assume that they may have something to do with each other. Whether or not such a relationship is interesting is in the eye of the beholder.

Network Visualisation,

network analysis,

Collection Analysis
Histograph is a graph-based exploration and crowd-based indexation for multimedia collections. HistoGraph treats multimedia collections as networks. The underlying assumption is simple: if two people are mentioned together in a document, we assume that they may have something to do with each other. Whether or not such a relationship is interesting is in the eye of the beholder.

Network Visualisation,

network analysis,

Collection Analysis
Histograph is a graph-based exploration and crowd-based indexation for multimedia collections. HistoGraph treats multimedia collections as networks. The underlying assumption is simple: if two people are mentioned together in a document, we assume that they may have something to do with each other. Whether or not such a relationship is interesting is in the eye of the beholder.

Network Visualisation,

network analysis,

Collection Analysis
Histograph is a graph-based exploration and crowd-based indexation for multimedia collections. HistoGraph treats multimedia collections as networks. The underlying assumption is simple: if two people are mentioned together in a document, we assume that they may have something to do with each other. Whether or not such a relationship is interesting is in the eye of the beholder.

Network Visualisation,

network analysis,

Collection Analysis
Histograph is a graph-based exploration and crowd-based indexation for multimedia collections. HistoGraph treats multimedia collections as networks. The underlying assumption is simple: if two people are mentioned together in a document, we assume that they may have something to do with each other. Whether or not such a relationship is interesting is in the eye of the beholder.

Network Visualisation,

network analysis,

Collection Analysis
Histograph is a graph-based exploration and crowd-based indexation for multimedia collections. HistoGraph treats multimedia collections as networks. The underlying assumption is simple: if two people are mentioned together in a document, we assume that they may have something to do with each other. Whether or not such a relationship is interesting is in the eye of the beholder.

Network Visualisation,

network analysis,

Collection Analysis
Histograph is a graph-based exploration and crowd-based indexation for multimedia collections. HistoGraph treats multimedia collections as networks. The underlying assumption is simple: if two people are mentioned together in a document, we assume that they may have something to do with each other. Whether or not such a relationship is interesting is in the eye of the beholder.

Network Visualisation,

network analysis,

Collection Analysis
Histograph is a graph-based exploration and crowd-based indexation for multimedia collections. HistoGraph treats multimedia collections as networks. The underlying assumption is simple: if two people are mentioned together in a document, we assume that they may have something to do with each other. Whether or not such a relationship is interesting is in the eye of the beholder.