Measuring social networks with digital photograph collections

Golder, Scott

doi:10.1145/1379092.1379104

Cited by 27 publications

(13 citation statements)

References 12 publications

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“…In agreement with [Golder (2008)] we consider that if there are many people in a photo, the links between them are weak. Consequently to assess the strength of a couple, the number of persons present in photos with this pair should be taken into account.…”

Section: Proximity Of a Couplesupporting

confidence: 80%

Mining social networks and their visual semantics from social photos

Crampes¹,

Plantié²

2011

Proceedings of the International Conference on Web Intelligence, Mining and Semantics

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With the new possibilities in communication and information management, social networks and photos have received plenty of attention in the digital age. But there has been little research about the possibility that social photos carry some implicit social information and about the capacity to use this information for mining social data. In this paper, we show how social photos, captured during family or friends' events, representing individuals or groups, can be used to build social networks and express part of their semantics. Our contribution takes a wedding as an example. We present a method with different facets which give different results. The resulting social networks can be used by people as a mirror of the event and also as a means for sharing photos with personalized albums.

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Section: Proximity Of a Couplesupporting

confidence: 80%

Mining social networks and their visual semantics from social photos

Crampes¹,

Plantié²

2011

Proceedings of the International Conference on Web Intelligence, Mining and Semantics

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“…In agreement with [8] we consider that if more people are in a photo, the links between people are weaker. Consequently to assess the strength of a couple, the number of persons present in photos with this pair should be taken into account.…”

Section: Proximity or Couple Weighted Forcesupporting

confidence: 70%

“…The closest approach that was not known at the time of our research is presented in [8]. The author justifies the fact that photos representing people can be used to elicit social networks.…”

Section: Photos and Social Networkmentioning

confidence: 99%

From photo networks to social networks, creation and use of a social network derived with photos

Plantié

Crampes

2010

Proceedings of the 18th ACM International Conference on Multimedia

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With the new possibilities in communication and information management, social networks and photos have received plenty of attention in the digital age. In this paper, we show how social photos, captured during family events, representing individuals or groups, can be visualized as a network that reveals social attributes. From this photo network, a social network is extracted that can help to build personalized albums. The photo network organization makes use of Formal Concept Analysis methods.

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“…Extracting social networks from social photos is also described in [26]; however the author's method is based on the analysis of individual photos and not on the analysis of concepts. In another paper we will explain why we think that concepts are a better support for extracting social networks.…”

Section: Social Networkmentioning

confidence: 99%

Visualizing Social Photos on a Hasse Diagram for Eliciting Relations and Indexing New Photos

Crampes¹,

Oliveira-Kumar

Ranwez³

et al. 2009

IEEE Trans. Visual. Comput. Graphics

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Abstract-Social photos, which are taken during family events or parties, represent individuals or groups of people. We show in this paper how a Hasse diagram is an efficient visualization strategy for eliciting different groups and navigating through them. However, we do not limit this strategy to these traditional uses. Instead we show how it can also be used for assisting in indexing new photos.Indexing consists of identifying the event and people in photos. It is an integral phase that takes place before searching and sharing. In our method we use existing indexed photos to index new photos. This is performed through a manual drag and drop procedure followed by a content fusion process that we call 'propagation'. At the core of this process is the necessity to organize and visualize the photos that will be used for indexing in a manner that is easily recognizable and accessible by the user. In this respect we make use of an Object Galois Sub-Hierarchy and display it using a Hasse diagram. The need for an incremental display that maintains the user's mental map also leads us to propose a novel way of building the Hasse diagram. To validate the approach, we present some tests conducted with a sample of users that confirm the interest of this organization, visualization and indexation approach. Finally, we conclude by considering scalability, the possibility to extract social networks and automatically create personalised albums.

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Measuring social networks with digital photograph collections

Cited by 27 publications

References 12 publications

Mining social networks and their visual semantics from social photos

Mining social networks and their visual semantics from social photos

From photo networks to social networks, creation and use of a social network derived with photos

Visualizing Social Photos on a Hasse Diagram for Eliciting Relations and Indexing New Photos

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