A Dynamic and Automated Access Control Management System for Social Networks

Algorithm 1

Interest-based clustering.

(1)	reviews = read (Profile-data)
(2)	input S [i]//Select Req. Columns
(3)	for i in range (0, len (S [i])):
(4)	revi = read S [i] from reviews
(5)	for j in range (0, len (revi)):
(6)	word.lower ()
(7)	corpusi.append (word)
(8)	end for
(9)	ISF (corpusi)//Define function
(10)	di = dict ()//initialize dictionary
(11)	for word in corpusi
(12)	if word in di
(13)	di [word] = di [word] + 1
(14)	else
(15)	di [word] = 1
(16)	end if
(17)	end for
(18)	interesti = convert di to array
(19)	return interesti, corpusi
(20)	end function
(21)	CF (interesti, corpusi)//Define function
(22)	Ci = []//initialize cluster array
(23)	for line in corpusi:
(24)	for word in range (0, len (interesti)):
(25)	if line = = interesti [word]
(26)	Ci.append (word)
(27)	end if
(28)	end for
(29)	end for
(30)	R = reviews [‘Cluster’ i] = Ci
(31)	return R
(32)	end function
(33)	end for