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2 . Social Network A social network consists of a finite set of members. Members $i$ and $j$ are said to be * linked *

2. Social Network
A social network consists of a finite set of members. Members $i$ and $j$ are said to be *linked* if either they are friends or they are *friends of friends* which is shown in an example and then formally defined below.
As an example, here is a social network that has five members A, B, C, D, and E. Friends are any two members that are connected by one line segment. For example, A and B are friends, and C and E are friends. Member A has 3 friends; B, C and D have one friend each; and E has two friends. Members B and C aren't friends but they are linked by the sequence of friends BAEC.
![undirected graph](hw6_q2_graph.png)
Formally, Members $i$ and $j$ are linked if either they are friends or for some $n \ge 1$ there are members $a_1, a_2,\ldots, a_n$ such that Members $i$ and $a_1$ are friends, Members $a_1$ and $a_2$ are friends, Members $a_2$ and $a_3$ are friends, and so on, and Members $a_n$ and $j$ are friends.
Consider a network of $m$ members. For $1\le i \le m$ let $f_i$ be the number of friends of Member $i$, and assume that $f_a
e f_b$ for some members $a$ and $b$. Also assume that every member is linked to every other member.
Let $X_0, X_1, X_2,\ldots$ be a Markov Chain on the set of members, with transitions based on the following proposal scheme. Given that the chain is at Member $i$:
- Select a friend uniformly at random from all of Member $i$'s friends.
- If the selected friend is Member $j$, then:
- If $f_j \le f_i$, move to $j$.
- If $f_j > f_i$, toss a coin that lands heads with chance $f_i / f_j$. If it lands heads, move to $j$. If it lands tails, stay at $i$.
**a)** For states $i
e j$, find the one-step transition probability $P(i, j)= P(X_1= j \mid X_0=i)$.
**b)** Briefly explain why the chain has a steady state distribution, and find that distribution. Identify it as one of the famous ones and provide its name and parameters.

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