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Hao Chen
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How does the distribution of ErdosErdős number evolve over time ? How to build a model to fit the real data ?

Let $E(n,t)$ be the number of mathematicians with finite positive ErdosErdős number $n$ at time $t$. As old mathematicians leave, and new mathematicians come, how does $E(n,t)$ change over time ?

We can consider only the cooperations between two mathematicians, and assume that every year, the number of new articles and new mathematicians are both constant. We can fix the length of career for every mathematician. Feel free to add any other assumptions.

Some obvious facts are

  • for every $n>0$, there exists a time $T(n)$, such that $E(n,t)$ is constant for $t>T(n)$.
  • the average ErdosErdős number will increase over time, but is it linear ?
  • ...

It would be nice to find a model for the growth of network that can fit the real data. But since we are not far from ErdosErdős ($T(1)\leq Y1996$), no data is available for large $t$, unfortunately. The distribution seems to be converging towards low ErdosErdős numbers at this time.

How does the distribution of Erdos number evolve over time ? How to build a model to fit the real data ?

Let $E(n,t)$ be the number of mathematicians with finite positive Erdos number $n$ at time $t$. As old mathematicians leave, and new mathematicians come, how does $E(n,t)$ change over time ?

We can consider only the cooperations between two mathematicians, and assume that every year, the number of new articles and new mathematicians are both constant. We can fix the length of career for every mathematician. Feel free to add any other assumptions.

Some obvious facts are

  • for every $n>0$, there exists a time $T(n)$, such that $E(n,t)$ is constant for $t>T(n)$.
  • the average Erdos number will increase over time, but is it linear ?
  • ...

It would be nice to find a model for the growth of network that can fit the real data. But since we are not far from Erdos ($T(1)\leq Y1996$), no data is available for large $t$, unfortunately. The distribution seems to be converging towards low Erdos numbers at this time.

How does the distribution of Erdős number evolve over time ? How to build a model to fit the real data ?

Let $E(n,t)$ be the number of mathematicians with finite positive Erdős number $n$ at time $t$. As old mathematicians leave, and new mathematicians come, how does $E(n,t)$ change over time ?

We can consider only the cooperations between two mathematicians, and assume that every year, the number of new articles and new mathematicians are both constant. We can fix the length of career for every mathematician. Feel free to add any other assumptions.

Some obvious facts are

  • for every $n>0$, there exists a time $T(n)$, such that $E(n,t)$ is constant for $t>T(n)$.
  • the average Erdős number will increase over time, but is it linear ?
  • ...

It would be nice to find a model for the growth of network that can fit the real data. But since we are not far from Erdős ($T(1)\leq Y1996$), no data is available for large $t$, unfortunately. The distribution seems to be converging towards low Erdős numbers at this time.

deleted 4 characters in body; edited title
Source Link
Hao Chen
  • 2.6k
  • 19
  • 29

How does the distribution of Erdos number evolve over time ? How to build a model to fit the real data ?

Let $E(n,t)$ be the number of mathematicians with finite positive Erdos number $n$ at time $t$. As old mathematicians leave, and new mathematicians come, how does $E(n,t)$ change over time ?

We can consider only the cooperations between two mathematicians, and assume that every year, the number of new articles and new mathematicians are both constant. We can fix the length of career for every mathematician. Feel free to add any other assumptions.

Some obvious facts are

  • for every $n>0$, there exists a time $T(n)$, such that $E(n,t)$ is constant for $t>T(n)$.
  • the average Erdos number will increase over time, but is it linear ?
  • ...

It would be nice to find a model for the growth of network that can fit the real data. But since we are not far from Erdos ($T(1)\leq Y1996$), theno data is available for large $t$, unfortunately. The distribution seems to be converging towards low Erdos numbers at this time, and no data is available for large $t$, unfortunately.

How the distribution of Erdos number evolve over time ? How to build a model to fit the real data ?

Let $E(n,t)$ be the number of mathematicians with finite positive Erdos number $n$ at time $t$. As old mathematicians leave, and new mathematicians come, how does $E(n,t)$ change over time ?

We can consider only the cooperations between two mathematicians, and assume that every year, the number of new articles and new mathematicians are both constant. We can fix the length of career for every mathematician. Feel free to add any other assumptions.

Some obvious facts are

  • for every $n>0$, there exists a time $T(n)$, such that $E(n,t)$ is constant for $t>T(n)$.
  • the average Erdos number will increase over time, but is it linear ?
  • ...

It would be nice to find a model for the growth of network that can fit the real data. But since we are not far from Erdos ($T(1)\leq Y1996$), the distribution seems to be converging towards low Erdos numbers at this time, and no data is available for large $t$, unfortunately.

How does the distribution of Erdos number evolve over time ? How to build a model to fit the real data ?

Let $E(n,t)$ be the number of mathematicians with finite positive Erdos number $n$ at time $t$. As old mathematicians leave, and new mathematicians come, how does $E(n,t)$ change over time ?

We can consider only the cooperations between two mathematicians, and assume that every year, the number of new articles and new mathematicians are both constant. We can fix the length of career for every mathematician. Feel free to add any other assumptions.

Some obvious facts are

  • for every $n>0$, there exists a time $T(n)$, such that $E(n,t)$ is constant for $t>T(n)$.
  • the average Erdos number will increase over time, but is it linear ?
  • ...

It would be nice to find a model for the growth of network that can fit the real data. But since we are not far from Erdos ($T(1)\leq Y1996$), no data is available for large $t$, unfortunately. The distribution seems to be converging towards low Erdos numbers at this time.

added 11 characters in body; edited title; added 1 characters in body; added 4 characters in body; deleted 2 characters in body
Source Link
Hao Chen
  • 2.6k
  • 19
  • 29

How the distribution of Erdos number evolve over time ? How to build a model to fit the real data ?

Let $E(n,t)$ be the number of mathematicians with finite positive Erdos number $n$ at time $t$. As old mathematicians leave, and new mathematicians come, how does $E(n,t)$ change over time ?

We can consider only the cooperations between two mathematicians, and assume that every year, the number of new articles and new mathematicians are both constant. We can fix the length of career for every mathematician. The model for the growth of network is up to you. Also, feelFeel free to add any other assumptions.

Some obvious facts are

  • for every $n>0$, there exists a time $T(n)$, such that $E(n,t)$ is constant for $t>T(n)$.
  • the average Erdos number will increase over time, but is it linear ?
  • ...

SinceIt would be nice to find a model for the growth of network that can fit the real data. But since we are not far from Erdos (1913-1996$T(1)\leq Y1996$), the distribution seems to be converging towards low Erdos numbers at this time, but we are already after $T(1)$. Thereforeand no data is available for large $t$, unfortunately.

How the distribution of Erdos number evolve over time ?

Let $E(n,t)$ be the number of mathematicians with finite positive Erdos number $n$ at time $t$. As old mathematicians leave, and new mathematicians come, how does $E(n,t)$ change over time ?

We can consider only the cooperations between two mathematicians, and assume that every year, the number of new articles and new mathematicians are both constant. We can fix the length of career for every mathematician. The model for the growth of network is up to you. Also, feel free to add any other assumptions.

Some obvious facts are

  • for every $n>0$, there exists a time $T(n)$, such that $E(n,t)$ is constant for $t>T(n)$.
  • the average Erdos number will increase over time, but is it linear ?
  • ...

Since we are not far from Erdos (1913-1996), the distribution seems to be converging towards low Erdos numbers, but we are already after $T(1)$. Therefore no data is available for large $t$, unfortunately.

How the distribution of Erdos number evolve over time ? How to build a model to fit the real data ?

Let $E(n,t)$ be the number of mathematicians with finite positive Erdos number $n$ at time $t$. As old mathematicians leave, and new mathematicians come, how does $E(n,t)$ change over time ?

We can consider only the cooperations between two mathematicians, and assume that every year, the number of new articles and new mathematicians are both constant. We can fix the length of career for every mathematician. Feel free to add any other assumptions.

Some obvious facts are

  • for every $n>0$, there exists a time $T(n)$, such that $E(n,t)$ is constant for $t>T(n)$.
  • the average Erdos number will increase over time, but is it linear ?
  • ...

It would be nice to find a model for the growth of network that can fit the real data. But since we are not far from Erdos ($T(1)\leq Y1996$), the distribution seems to be converging towards low Erdos numbers at this time, and no data is available for large $t$, unfortunately.

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Hao Chen
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Hao Chen
  • 2.6k
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  • 29
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