Node self‐connections in network metrics

Saura, Santiago

doi:10.1111/ele.12885

Cited by 7 publications

(12 citation statements)

References 14 publications

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“…Much excellent work has been done using the PC metric, which demonstrates the value of including information about patch attributes in network metrics. We agree that PC, if redefined along the lines presented in Saura (2018), is a potentially useful tool for investigating the effect of node self-connections, particularly relative to the effect of patch attributes. For the reasons stated in this response, however, we do not agree that previous work with PC has already demonstrated the importance of node self-connections: none of the studies cited by Saura (2018) have done this.…”

mentioning

confidence: 55%

“…We agree that PC, if redefined along the lines presented in Saura (2018), is a potentially useful tool for investigating the effect of node self-connections, particularly relative to the effect of patch attributes. For the reasons stated in this response, however, we do not agree that previous work with PC has already demonstrated the importance of node self-connections: none of the studies cited by Saura (2018) have done this. We hypothesise that applying this tool in future work will demonstrate that node self-connections are important determinants of a great many metapopulation properties that have been explored with PC (e.g.…”

mentioning

confidence: 55%

“…In proposing PC, Saura & Pascual‐Hortal () specifically defined p ii as being equal to one for all patches (‘when i = j, p ij * = 1 (it is sure that a patch can be reached from itself) …a patch itself is considered as a space where connectivity exists’). Studies employing PC have adopted this definition and typically model the corresponding between‐patch quantities ( p ij ) as decreasing functions of between‐patch distance (Saura ). In other words, PC is a distance‐weighted measure of pairwise patch attributes.…”

Section: Responsementioning

confidence: 99%

“… Abstract Saura () claims that studies using the Probability of Connectivity metric ( PC ) had already demonstrated the importance of including node self‐connections in network metrics. As originally defined and used, PC cannot test the importance of self‐connections.…”

mentioning

confidence: 99%

“….a patch itself is considered as a space where connectivity exists'). Studies employing PC have adopted this definition and typically model the corresponding betweenpatch quantities (p ij ) as decreasing functions of between-patch distance (Saura 2018). In other words, PC is a distanceweighted measure of pairwise patch attributes.…”

mentioning

confidence: 99%

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Node self‐connections and metapopulation persistence: reply to Saura (2018)

et al. 2018

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confidence: 55%

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confidence: 55%

Section: Responsementioning

confidence: 99%

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confidence: 99%

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confidence: 99%

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Node self‐connections and metapopulation persistence: reply to Saura (2018)

et al. 2018

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Intra-family links in the analysis of marital networks

Merelo,

Molinari

2024

J Comput Soc Sc

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Marriage networks, which represent the matrimonial connections between different families in a given historical and geographical milieu, rarely take into account one aspect of internal family dynamics, namely the existence of intra-family marriages. The inclusion of such marriages, represented in the graph by self-loops, is essential to compute more accurate measures of centrality. In this paper, we discuss various procedures for incorporating these links into the analysis, with the requirement that they be compatible with the use of already available social network analysis software. We then apply them to two historical marriage networks, one from the Republic of Venice and the other from Taiwan. By comparing centrality measures for the baseline and modified networks, we found that the most satisfactory of the proposed methods is the one that duplicate nodes of families with intra-family marriages and adds new edges that link these duplicated nodes to all the families to which the original node was connected. This procedure is computationally simple and conceptually sound, making it a useful tool for analyzing marital networks.

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Protected area connectivity: Shortfalls in global targets and country-level priorities

Saura

Bertzky

Bastin

et al. 2018

Biological Conservation

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185

168

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Connectivity of protected areas (PAs) is crucial for meeting their conservation goals. We provide the first global evaluation of countries' progress towards Aichi Target 11 of the Convention on Biological Diversity that is to have at least 17% of the land covered by well-connected PA systems by 2020. We quantify how well the terrestrial PA systems of countries are designed to promote connectivity, using the Protected Connected (ProtConn) indicator. We refine ProtConn to focus on the part of PA connectivity that is in the power of a country to influence, i.e. not penalizing countries for PA isolation due to the sea and to foreign lands. We found that globally only 7.5% of the area of the countries is covered by protected connected lands, which is about half of the global PA coverage of 14.7%, and that only 30% of the countries currently meet the Aichi Target 11 connectivity element. These findings suggest the need for considerable efforts to improve PA connectivity globally. We further identify the main priorities for improving or sustaining PA connectivity in each country: general increase of PA coverage, targeted designation of PAs in strategic locations for connectivity, ensuring permeability of the unprotected landscapes between PAs, coordinated management of neighbouring PAs within the country, and/or transnational coordination with PAs in other countries. Our assessment provides a key contribution to evaluate progress towards global PA connectivity targets and to highlight important strengths and weaknesses of the design of PA systems for connectivity in the world's countries and regions.

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Node self‐connections in network metrics

Cited by 7 publications

References 14 publications

Node self‐connections and metapopulation persistence: reply to Saura (2018)

Node self‐connections and metapopulation persistence: reply to Saura (2018)

Intra-family links in the analysis of marital networks

Protected area connectivity: Shortfalls in global targets and country-level priorities

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