Dealing with Disappearance of an Actor Set in Social Networks

Sarr, Idrissa; Missaoui, Rokia; Lalande, R.

doi:10.1109/asonam.2012.85

Cited by 4 publications

(2 citation statements)

References 24 publications

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“…15 This view asserts that it is the network that promotes and legitimates both information and network members, which, from this standpoint, are instrumental in receiving and forwarding such information (Haythornthwaite, 1996). This is a structural outlook that is emphasized by some realms of literature that argue that nodes or groups of nodes of a network can be replaced with no information flow breakdown (Sarr, Missaoui, & Lalande, 2012). However, this seems to be an incomplete view when considering the dimension of the psychological characteristics (personal attributes) of the actors in a social network, as the results presented in this work seems to show.…”

Section: B) Emotional Factorsmentioning

confidence: 97%

Central nodes and surprise in content selection in social networks

Figueiredo

Chen

Azevedo

2015

Computers in Human Behavior

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Section: B) Emotional Factorsmentioning

confidence: 97%

Central nodes and surprise in content selection in social networks

Figueiredo

Chen

Azevedo

2015

Computers in Human Behavior

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“…Restructuring the network following a node deletion has been addressed by [1,2,3]. In these studies, restructuring is accomplished by using heuristics such as exploring the role of the deleted node (see [1]) and adding just enough links to maintain the quality of information flow (IF) (see [2]).…”

Section: Introductionmentioning

confidence: 99%

Multi-objective restructuring in social networks

Gunasekara

Mehrotra

Mohan

2013

Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining

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In most social networks that are observed over time, we find that some individuals leave and others join the network. It is often important to modify the connections in the resulting network to satisfy desired properties associated with the network as well as individual nodes. We formulate this as a multi-objective optimization problem that requires maximization of two measures: the network Information Flow Quality (IFQ) and the Personal Satisfaction Quality(PSQ). Algorithms are developed to accomplish these optimization tasks, and shown to result in satisfactory network reconfiguration.

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