Community detection with node attributes in multilayer networks

Contisciani, Martina; Bacco, Caterina De

doi:10.1038/s41598-020-72626-y

Cited by 57 publications

(47 citation statements)

References 49 publications

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“…Community detection seeks to describe the large-scale structure of a network by dividing its nodes into communities (or groups), based only on the pattern of links among those nodes (Contisciani et al [10]). Nodes belonging to communities are more highly connected to each other than to the rest of the network and probably share common properties.…”

Section: Community Detectionmentioning

confidence: 99%

Using wearable proximity sensors to characterize social contact patterns in a village of rural Malawi

et al. 2021

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Measuring close proximity interactions between individuals can provide key information on social contacts in human communities and related behaviours. This is even more essential in rural settings in low- and middle-income countries where there is a need to understand contact patterns for the implementation of strategies for social protection interventions. We report the quantitative assessment of contact patterns in a village in rural Malawi, based on proximity sensors technology that allows for high-resolution measurements of social contacts. Our results revealed that the community structure of the village was highly correlated with the household membership of the individuals, thus confirming the importance of the family ties within the village. Social contacts within households occurred mainly between adults and children, and adults and adolescents and most of the inter-household social relationships occurred among adults and among adolescents. At the individual level, age and gender social assortment were observed in the inter-household network, and age disassortativity was instead observed in intra-household networks. Moreover, we obtained a clear trend of the daily contact activity of the village. Family members congregated in the early morning, during lunch time and dinner time. In contrast, inter-household contact activity displayed a growth from the morning, reaching a maximum in the afternoon.The proximity sensors technology used in this study provided high resolution temporal data characterized by timescales comparable with those intrinsic to social dynamics and it thus allowed to have access to the level of information needed to understand the social context of the village.

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Section: Community Detectionmentioning

confidence: 99%

Using wearable proximity sensors to characterize social contact patterns in a village of rural Malawi

et al. 2021

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“…(ii) an efficient interior point solver for Problem (2-7a-2-7d), only used if the relocation candidate was not filtered out due to the previous conditions (Lines [14][15][16][17][18][19].…”

Section: Likelihood Maximizationmentioning

confidence: 99%

“…Contisciani et al [17] introduced a probabilistic model for community detection in multi-layer graphs, combining sample features with relational information, where the sample features are categorical. Each category has a probability of being observed in a community, while an SBM variant serves to model relational information.…”

Section: Related Work and Backgroundmentioning

confidence: 99%

“…, (3)(4)(5)(6)(7)(8)(9)(10)(11)(12)(13)(14)(15)(16)(17)(18) and therefore to the following log-posterior with the observed features X:…”

Section: Prior Knowledge Of Experts' Accuracymentioning

confidence: 99%

“…In Equation (3)(4)(5)(6)(7)(8)(9)(10)(11)(12)(13)(14)(15)(16)(17)(18)(19), we used a constant prior for the mixture of Gaussians, and therefore only take the likelihood into account. The last two summations Chapter 3.…”

Section: Prior Knowledge Of Experts' Accuracymentioning

confidence: 99%

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A Model-Based Framework for Semi-Supervised Clustering and Community Detection

GRIBEL¹

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BaYaka forager food sharing networks in the Congo Basin: The roles of gender homophily and kin sharing

Gettler

Redhead

Dzabatou

et al. 2023

American Journal of Biological Anthropology

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Objectives Food sharing is a costly form of cooperation that was likely critical to human evolutionary success, including the emergence of human's life history strategy. Food sharing in human communities may be maintained through a number of pathways, including direct dyadic reciprocity, reputation‐based processes, and kin‐biased exchange. Differences in reproductive demands, labor, and cultural norms may also result in gendered differences in cooperative networks. Here, we examine cooperative networks in egalitarian BaYaka foragers from the Congo Basin. Materials and Methods We collected social network data from 112 adults in 41 households in this subsistence community. We implement a Bayesian latent network model to assess individual‐, dyadic‐, and block‐level predictors of food sharing partners. Results Conditioning on covariates, we found limited evidence for direct dyadic reciprocity in food sharing. Despite local norms regarding prestige avoidance, we found status‐based homophily. High‐status individuals—council members and local healers—were more likely to share with one another. Importantly, our results highlight gender differences in patterns of food sharing, interacting with genetic relatedness. Women were more likely to share with one another, especially with kin as genetic relatedness increased. Discussion Our results align with evolutionary framing emphasizing kin selection in costly cooperation. The results showing that women cooperate with other women, particularly kin, also complement sex‐based patterns in some other mammalian species, potentially reflecting the social support necessary to manage reproductive costs and childcare. BaYaka women's subsistence productivity and local cultural dynamics for autonomy and egalitarianism may likewise help facilitate women's preferential cooperation with one another.

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Community detection with node attributes in multilayer networks

Cited by 57 publications

References 49 publications

Using wearable proximity sensors to characterize social contact patterns in a village of rural Malawi

Using wearable proximity sensors to characterize social contact patterns in a village of rural Malawi

A Model-Based Framework for Semi-Supervised Clustering and Community Detection

BaYaka forager food sharing networks in the Congo Basin: The roles of gender homophily and kin sharing

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