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During my rewrite, I accidentally misstated the concept the OP is asking for in the new *title*. Corrected.
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Subsets of a graph, maximal w.r.t. the property of each vertex havinginducing a subgraph with minimum degree at least $k$ neighbors outside said set

I think the form of the OP was an unbearable mess, yet I think the substance of the OP is legitimate for MO. I therefore *rewrote* the OP from scratch, to what I think is usual form. This summary form is too small to document the changes. I think that the meaning of the OP was not changed at all.
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Maximal subgraphs with dense connections Subsets of a graph, maximal w.r.t. the property of each vertex having at least $k$ neighbors outside said set

Let G=(V,E)$G=(V,E)$ be a given networksimple undirected graph. Denote byDefine an $S_k \subset V$mmd$k$s in $G$ (for 'maximal minimum degree $k$ subset') to be the maximalany subset $S$ of nodes$V$ such that in the induced subgraph $G_k=(S_k, E_k)$ (where $E_k=E\cap S_k \times S_k$)

  1. the subgraph induced by $S$ in $G$ has minimum degree $\geq k$,
  2. $S$ is $\subseteq$-maximal w.r.t. property 1.

Moreover, all agents have at leastfor any $k$ connections, i.elet $\mathrm{smmds}(G,k):=\sup\{ \lvert S \rvert \colon\text{$S$ is an mmd$k$s in $G$}\}$.

Moreover, for any class $i\in S_k \Rightarrow \sum_{j\in S_k} g_{ij}\geq k$$\mathbb{G}$ of graphs, wherelet $G$ denotes the unweighted adjacency matrix$\mathrm{smmds}(\mathbb{G},k):=\sup\{ \mathrm{smmds}(G,k)\colon G\in\mathbb{G}\}$.

My question is whether for a given $k$ the set $S_k$ corresponds to a known quantity

  • mmd$k$s's
  • the graph invariant $\mathrm{smmds}(\cdot,k)$,

have already been analysed and named in the graph theory literature. 

I am interested in understanding how the cardinality of set $S_k$ changes$\mathrm{smmds}(\cdot,k)$, varies, as a function of $k$, for different families of graphs (or certain random graph models).

Maximal subgraphs with dense connections

Let G=(V,E) be a given network. Denote by $S_k \subset V$ be the maximal subset of nodes such that in the induced subgraph $G_k=(S_k, E_k)$ (where $E_k=E\cap S_k \times S_k$), all agents have at least $k$ connections, i.e., $i\in S_k \Rightarrow \sum_{j\in S_k} g_{ij}\geq k$, where $G$ denotes the unweighted adjacency matrix.

My question is whether for a given $k$ the set $S_k$ corresponds to a known quantity in the graph theory literature. I am interested in understanding how the cardinality of set $S_k$ changes as a function of $k$ for different families of graphs (or certain random graph models).

Subsets of a graph, maximal w.r.t. the property of each vertex having at least $k$ neighbors outside said set

Let $G=(V,E)$ be a simple undirected graph. Define an mmd$k$s in $G$ (for 'maximal minimum degree $k$ subset') to be any subset $S$ of $V$ such that

  1. the subgraph induced by $S$ in $G$ has minimum degree $\geq k$,
  2. $S$ is $\subseteq$-maximal w.r.t. property 1.

Moreover, for any $k$, let $\mathrm{smmds}(G,k):=\sup\{ \lvert S \rvert \colon\text{$S$ is an mmd$k$s in $G$}\}$.

Moreover, for any class $\mathbb{G}$ of graphs, let $\mathrm{smmds}(\mathbb{G},k):=\sup\{ \mathrm{smmds}(G,k)\colon G\in\mathbb{G}\}$.

My question is whether

  • mmd$k$s's
  • the graph invariant $\mathrm{smmds}(\cdot,k)$,

have already been analysed and named in graph theory. 

I am interested in understanding how $\mathrm{smmds}(\cdot,k)$, varies, as a function of $k$, for different families of graphs (or certain random graph models).

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Ozzy
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Maximal subgraphs with dense connections

Let G=(V,E) be a given network. Denote by $S_k \subset V$ be the maximal subset of nodes such that in the induced subgraph $G_k=(S_k, E_k)$ (where $E_k=E\cap S_k \times S_k$), all agents have at least $k$ connections, i.e., $i\in S_k \Rightarrow \sum_{j\in S_k} g_{ij}\geq k$, where $G$ denotes the unweighted adjacency matrix.

My question is whether for a given $k$ the set $S_k$ corresponds to a known quantity in the graph theory literature. I am interested in understanding how the cardinality of set $S_k$ changes as a function of $k$ for different families of graphs (or certain random graph models).