#communitystructure — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #communitystructure, aggregated by home.social.
-
【🎉Latest accepted article】
#ForestStructure determines the structure and #FunctionalTraits of #Liana community during secondary succession in a temperate oak forest#CommunityStructure | #SoilProperties | #SecondaryForestSuccession
-
ICYMI: Lertzman-Lepofsky et al. find that elevation interacts with deforestation to shape community structure among Anolis lizards and suggest that this interaction is key to understanding community assembly in the Anthropocene.
Read now!
https://www.journals.uchicago.edu/doi/abs/10.1086/738326 -
ICYMI: Lertzman-Lepofsky et al. find that elevation interacts with deforestation to shape community structure among Anolis lizards and suggest that this interaction is key to understanding community assembly in the Anthropocene.
Read now!
https://www.journals.uchicago.edu/doi/abs/10.1086/738326 -
ICYMI: Lertzman-Lepofsky et al. find that elevation interacts with deforestation to shape community structure among Anolis lizards and suggest that this interaction is key to understanding community assembly in the Anthropocene.
Read now!
https://www.journals.uchicago.edu/doi/abs/10.1086/738326 -
ICYMI: Lertzman-Lepofsky et al. find that elevation interacts with deforestation to shape community structure among Anolis lizards and suggest that this interaction is key to understanding community assembly in the Anthropocene.
Read now!
https://www.journals.uchicago.edu/doi/abs/10.1086/738326 -
ICYMI: Lertzman-Lepofsky et al. find that elevation interacts with deforestation to shape community structure among Anolis lizards and suggest that this interaction is key to understanding community assembly in the Anthropocene.
Read now!
https://www.journals.uchicago.edu/doi/abs/10.1086/738326 -
New paper!
How can we detect the presence of communities in networks with higher-order interactions? For instance, by maximizing hypermodularity! Also, this formulation will allow you to leverage tensor spectral methods to do it. Additionally, the paper also argues that the "overfitting" of modularity methods is actually just people applying them where they are not supposed to be used. And, as a byproduct, there is an explanation of why higher-order SVD works so well in classification tasks in machine learning. Oh, the code is available to use in your own projects (link in the first comment). And moreover, the code includes an efficient data structure for higher-order networks that is independent from the community detection method and that you can also use in your own work. 😎https://journals.aps.org/prresearch/abstract/10.1103/58dr-wktc
#networks #complexity #physics #maths #CompSci #graphs #higherorder #hypergraphs #community #detection #algorithm #communitystructure #modularity #hypermodularity
-
New paper!
How can we detect the presence of communities in networks with higher-order interactions? For instance, by maximizing hypermodularity! Also, this formulation will allow you to leverage tensor spectral methods to do it. Additionally, the paper also argues that the "overfitting" of modularity methods is actually just people applying them where they are not supposed to be used. And, as a byproduct, there is an explanation of why higher-order SVD works so well in classification tasks in machine learning. Oh, the code is available to use in your own projects (link in the first comment). And moreover, the code includes an efficient data structure for higher-order networks that is independent from the community detection method and that you can also use in your own work. 😎https://journals.aps.org/prresearch/abstract/10.1103/58dr-wktc
#networks #complexity #physics #maths #CompSci #graphs #higherorder #hypergraphs #community #detection #algorithm #communitystructure #modularity #hypermodularity
-
New paper!
How can we detect the presence of communities in networks with higher-order interactions? For instance, by maximizing hypermodularity! Also, this formulation will allow you to leverage tensor spectral methods to do it. Additionally, the paper also argues that the "overfitting" of modularity methods is actually just people applying them where they are not supposed to be used. And, as a byproduct, there is an explanation of why higher-order SVD works so well in classification tasks in machine learning. Oh, the code is available to use in your own projects (link in the first comment). And moreover, the code includes an efficient data structure for higher-order networks that is independent from the community detection method and that you can also use in your own work. 😎https://journals.aps.org/prresearch/abstract/10.1103/58dr-wktc
#networks #complexity #physics #maths #CompSci #graphs #higherorder #hypergraphs #community #detection #algorithm #communitystructure #modularity #hypermodularity
-
New paper!
How can we detect the presence of communities in networks with higher-order interactions? For instance, by maximizing hypermodularity! Also, this formulation will allow you to leverage tensor spectral methods to do it. Additionally, the paper also argues that the "overfitting" of modularity methods is actually just people applying them where they are not supposed to be used. And, as a byproduct, there is an explanation of why higher-order SVD works so well in classification tasks in machine learning. Oh, the code is available to use in your own projects (link in the first comment). And moreover, the code includes an efficient data structure for higher-order networks that is independent from the community detection method and that you can also use in your own work. 😎https://journals.aps.org/prresearch/abstract/10.1103/58dr-wktc
#networks #complexity #physics #maths #CompSci #graphs #higherorder #hypergraphs #community #detection #algorithm #communitystructure #modularity #hypermodularity
-
New paper!
How can we detect the presence of communities in networks with higher-order interactions? For instance, by maximizing hypermodularity! Also, this formulation will allow you to leverage tensor spectral methods to do it. Additionally, the paper also argues that the "overfitting" of modularity methods is actually just people applying them where they are not supposed to be used. And, as a byproduct, there is an explanation of why higher-order SVD works so well in classification tasks in machine learning. Oh, the code is available to use in your own projects (link in the first comment). And moreover, the code includes an efficient data structure for higher-order networks that is independent from the community detection method and that you can also use in your own work. 😎https://journals.aps.org/prresearch/abstract/10.1103/58dr-wktc
#networks #complexity #physics #maths #CompSci #graphs #higherorder #hypergraphs #community #detection #algorithm #communitystructure #modularity #hypermodularity
-
Zhenlu Qiu et al. explore the dynamics of #CommunityStructure, #Diversity, #InterspecificRelationships and stability during naturalized developmental restoration of #PinusTabulaeformis plantation without human’s involvement in North warm temperate zone.
https://doi.org/10.1093/jpe/rtac102 -
Legumes play critical roles in agroecosystems by modulating nitrogen-fixing microorganisms to enhance #SoilFertility and promote #CropProductivity. Yi-Heng Tao et al. investigated the #CommunityStructure of soil #Nitrogen-fixingMicroorganisms in different soil layers under #Legume and non-legume cultivation .Both #TotalCarbon and #DissolvedOrganicCarbon were identified as key drivers of #Nitrogen-fixingGenes.
Details: https://doi.org/10.1093/jpe/rtae092 -
So happy to finally see this collaboration with Rion Correia and @alainbarrat out. The distance backbone is a unique, algebraically-principled network subgraph that preserves all shortest paths. We were were excited to find out (with #sociopatterns and other data) that the backbones of #socialnetworks contain large amounts of redundant interactions that can be removed with very little impact on #communitystructure and #epidemic spread.
#complexsystems #dynamics
#Networkscience #Sparsification #complexnetworks
#PLOSCompBio: -
So happy to finally see this collaboration with Rion Correia and @alainbarrat out. The distance backbone is a unique, algebraically-principled network subgraph that preserves all shortest paths. We were were excited to find out (with #sociopatterns and other data) that the backbones of #socialnetworks contain large amounts of redundant interactions that can be removed with very little impact on #communitystructure and #epidemic spread.
#complexsystems #dynamics
#Networkscience #Sparsification #complexnetworks
#PLOSCompBio: -
So happy to finally see this collaboration with Rion Correia and @alainbarrat out. The distance backbone is a unique, algebraically-principled network subgraph that preserves all shortest paths. We were were excited to find out (with #sociopatterns and other data) that the backbones of #socialnetworks contain large amounts of redundant interactions that can be removed with very little impact on #communitystructure and #epidemic spread.
#complexsystems #dynamics
#Networkscience #Sparsification #complexnetworks
#PLOSCompBio: -
So happy to finally see this collaboration with Rion Correia and @alainbarrat out. The distance backbone is a unique, algebraically-principled network subgraph that preserves all shortest paths. We were were excited to find out (with #sociopatterns and other data) that the backbones of #socialnetworks contain large amounts of redundant interactions that can be removed with very little impact on #communitystructure and #epidemic spread.
#complexsystems #dynamics
#Networkscience #Sparsification #complexnetworks
#PLOSCompBio: