Network aggregation problem

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Question:
Suppose that $NinmathbbN$ immigrants (nodes) are connected by an Erdà ÂsâÂÂRényi random graph and that the average degree is $lambda$. The graph is fixed at the beginning of time (before anyone has immigrated).
One by one, all $N$ immigrants move to a new country. As they move to the country, they make native acquaintances according to the following timeline (the acquaintances are not incorporated into the graph):
- A new immigrant arrives.
- The immigrant randomly meets one native, who becomes an acquaintance.
- The immigrant talks to all the immigrants in his neighborhood who have already arrived in the country. All of their native acquaintances become his acquaintances (but not vice-versa).
- The next immigrant arrives.
Assume that the native population is large so that the chance that two immigrants randomly meet the same native is 0.
As $Nto infty$, what is the distribution of acquaintances over immigrants, $A_n_ninmathbbN$?
Notes:
- An immigrant will only acquire acquaintances between when he arrives and the next immigrant arrives.
- The first immigrant will always only have a single acquaintance.
- Any immigrant who is not connected will always only have a single acquaintance.
- An immigrant connected to $k$ other immigrants who have already immigrated must have at least $k+1$ acquaintances.
- If the network has no edges ($lambda=0$), then all immigrants will only have a single friend.
- Since this is a limit, the distribution should be supported over the natural numbers: $A_n>0$ for all $n in mathbbN$, as long as $lambda>0 $
- A well-known property of Erdà ÂsâÂÂRényi graphs, is that the degree distribution, $d_n_ninmathbbN$, converges to a Poisson distribution as the number of nodes, $N$, becomes large.
Progress:
So far, I have been thinking about this a series of differential equations $A_n(t)_ninmathbbN cup 0$. Then $alpha_n(t)$ is the share of immigrants with $n$ acquaintances after fraction $t$ of the immigrants have moved to the new country. Then $alpha_n(1)=A_n $. Here's what I know so far:
- $alpha_0=1-t$ is simply the share who have not moved.
- $dotalpha_1=sum_nin mathbbNd_ncdot (1-t)^n$. I only have a single acquaintance if none of my neighborhood has immigrated.
- Things get quite complicated after that.
combinatorics differential-equations graph-theory recursion poisson-distribution
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up vote
2
down vote
favorite
Question:
Suppose that $NinmathbbN$ immigrants (nodes) are connected by an Erdà ÂsâÂÂRényi random graph and that the average degree is $lambda$. The graph is fixed at the beginning of time (before anyone has immigrated).
One by one, all $N$ immigrants move to a new country. As they move to the country, they make native acquaintances according to the following timeline (the acquaintances are not incorporated into the graph):
- A new immigrant arrives.
- The immigrant randomly meets one native, who becomes an acquaintance.
- The immigrant talks to all the immigrants in his neighborhood who have already arrived in the country. All of their native acquaintances become his acquaintances (but not vice-versa).
- The next immigrant arrives.
Assume that the native population is large so that the chance that two immigrants randomly meet the same native is 0.
As $Nto infty$, what is the distribution of acquaintances over immigrants, $A_n_ninmathbbN$?
Notes:
- An immigrant will only acquire acquaintances between when he arrives and the next immigrant arrives.
- The first immigrant will always only have a single acquaintance.
- Any immigrant who is not connected will always only have a single acquaintance.
- An immigrant connected to $k$ other immigrants who have already immigrated must have at least $k+1$ acquaintances.
- If the network has no edges ($lambda=0$), then all immigrants will only have a single friend.
- Since this is a limit, the distribution should be supported over the natural numbers: $A_n>0$ for all $n in mathbbN$, as long as $lambda>0 $
- A well-known property of Erdà ÂsâÂÂRényi graphs, is that the degree distribution, $d_n_ninmathbbN$, converges to a Poisson distribution as the number of nodes, $N$, becomes large.
Progress:
So far, I have been thinking about this a series of differential equations $A_n(t)_ninmathbbN cup 0$. Then $alpha_n(t)$ is the share of immigrants with $n$ acquaintances after fraction $t$ of the immigrants have moved to the new country. Then $alpha_n(1)=A_n $. Here's what I know so far:
- $alpha_0=1-t$ is simply the share who have not moved.
- $dotalpha_1=sum_nin mathbbNd_ncdot (1-t)^n$. I only have a single acquaintance if none of my neighborhood has immigrated.
- Things get quite complicated after that.
combinatorics differential-equations graph-theory recursion poisson-distribution
add a comment |Â
up vote
2
down vote
favorite
up vote
2
down vote
favorite
Question:
Suppose that $NinmathbbN$ immigrants (nodes) are connected by an Erdà ÂsâÂÂRényi random graph and that the average degree is $lambda$. The graph is fixed at the beginning of time (before anyone has immigrated).
One by one, all $N$ immigrants move to a new country. As they move to the country, they make native acquaintances according to the following timeline (the acquaintances are not incorporated into the graph):
- A new immigrant arrives.
- The immigrant randomly meets one native, who becomes an acquaintance.
- The immigrant talks to all the immigrants in his neighborhood who have already arrived in the country. All of their native acquaintances become his acquaintances (but not vice-versa).
- The next immigrant arrives.
Assume that the native population is large so that the chance that two immigrants randomly meet the same native is 0.
As $Nto infty$, what is the distribution of acquaintances over immigrants, $A_n_ninmathbbN$?
Notes:
- An immigrant will only acquire acquaintances between when he arrives and the next immigrant arrives.
- The first immigrant will always only have a single acquaintance.
- Any immigrant who is not connected will always only have a single acquaintance.
- An immigrant connected to $k$ other immigrants who have already immigrated must have at least $k+1$ acquaintances.
- If the network has no edges ($lambda=0$), then all immigrants will only have a single friend.
- Since this is a limit, the distribution should be supported over the natural numbers: $A_n>0$ for all $n in mathbbN$, as long as $lambda>0 $
- A well-known property of Erdà ÂsâÂÂRényi graphs, is that the degree distribution, $d_n_ninmathbbN$, converges to a Poisson distribution as the number of nodes, $N$, becomes large.
Progress:
So far, I have been thinking about this a series of differential equations $A_n(t)_ninmathbbN cup 0$. Then $alpha_n(t)$ is the share of immigrants with $n$ acquaintances after fraction $t$ of the immigrants have moved to the new country. Then $alpha_n(1)=A_n $. Here's what I know so far:
- $alpha_0=1-t$ is simply the share who have not moved.
- $dotalpha_1=sum_nin mathbbNd_ncdot (1-t)^n$. I only have a single acquaintance if none of my neighborhood has immigrated.
- Things get quite complicated after that.
combinatorics differential-equations graph-theory recursion poisson-distribution
Question:
Suppose that $NinmathbbN$ immigrants (nodes) are connected by an Erdà ÂsâÂÂRényi random graph and that the average degree is $lambda$. The graph is fixed at the beginning of time (before anyone has immigrated).
One by one, all $N$ immigrants move to a new country. As they move to the country, they make native acquaintances according to the following timeline (the acquaintances are not incorporated into the graph):
- A new immigrant arrives.
- The immigrant randomly meets one native, who becomes an acquaintance.
- The immigrant talks to all the immigrants in his neighborhood who have already arrived in the country. All of their native acquaintances become his acquaintances (but not vice-versa).
- The next immigrant arrives.
Assume that the native population is large so that the chance that two immigrants randomly meet the same native is 0.
As $Nto infty$, what is the distribution of acquaintances over immigrants, $A_n_ninmathbbN$?
Notes:
- An immigrant will only acquire acquaintances between when he arrives and the next immigrant arrives.
- The first immigrant will always only have a single acquaintance.
- Any immigrant who is not connected will always only have a single acquaintance.
- An immigrant connected to $k$ other immigrants who have already immigrated must have at least $k+1$ acquaintances.
- If the network has no edges ($lambda=0$), then all immigrants will only have a single friend.
- Since this is a limit, the distribution should be supported over the natural numbers: $A_n>0$ for all $n in mathbbN$, as long as $lambda>0 $
- A well-known property of Erdà ÂsâÂÂRényi graphs, is that the degree distribution, $d_n_ninmathbbN$, converges to a Poisson distribution as the number of nodes, $N$, becomes large.
Progress:
So far, I have been thinking about this a series of differential equations $A_n(t)_ninmathbbN cup 0$. Then $alpha_n(t)$ is the share of immigrants with $n$ acquaintances after fraction $t$ of the immigrants have moved to the new country. Then $alpha_n(1)=A_n $. Here's what I know so far:
- $alpha_0=1-t$ is simply the share who have not moved.
- $dotalpha_1=sum_nin mathbbNd_ncdot (1-t)^n$. I only have a single acquaintance if none of my neighborhood has immigrated.
- Things get quite complicated after that.
combinatorics differential-equations graph-theory recursion poisson-distribution
combinatorics differential-equations graph-theory recursion poisson-distribution
asked Sep 7 at 1:37
user180743
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