لغة

[mohmeed132]

-- coding: utf-8 --

سكربت تحليل تغيّر البرادغم باستبدال كلمة بأخرى

from gensim.models import Word2Vec
from sklearn.metrics.pairwise import cosine_similarity
import networkx as nx
import numpy as np
import matplotlib.pyplot as plt

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1) إدخال النصوص (جُمل مبدئية)

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corpus = [
["العقل","يَقود","الإنسان"],
["الرغبة","تُملي","على","الإنسان"],
["التاريخ","يَكْتُب","الحاضر"],
["الأسطورة","تَصنع","المعنى"],
["العقل","يُضيء","الطريق"],
["الرغبة","تُحرّك","الإرادة"],
]

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2) تدريب Word2Vec

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w2v = Word2Vec(sentences=corpus, vector_size=50, window=5, min_count=1, workers=2, epochs=100)

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3) بناء الرسم الأصلي

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vocab = list(w2v.wv.index_to_key)
embs = np.array([w2v.wv[w] for w in vocab])
S = cosine_similarity(embs)

def build_graph(S, vocab, k=3):
G = nx.Graph()
for i, w in enumerate(vocab):
G.add_node(w)
neighbors_idx = np.argsort(-S[i])[:k+1]
for j in neighbors_idx:
if i==j: continue
G.add_edge(w, vocab[j], weight=float(S[i,j]))
return G

G0 = build_graph(S, vocab)

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4) استبدال كلمة A بـ B

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A, B = "العقل", "الرغبة"
embs_swapped = embs.copy()
idxA = vocab.index(A)
embs_swapped[idxA] = w2v.wv[B]
S2 = cosine_similarity(embs_swapped)
G1 = build_graph(S2, vocab)

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5) حساب المؤشرات

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deg0 = nx.degree_centrality(G0)
deg1 = nx.degree_centrality(G1)

bet0 = nx.betweenness_centrality(G0, weight='weight')
bet1 = nx.betweenness_centrality(G1, weight='weight')

delta_deg = {w: deg1[w] - deg0[w] for w in vocab}
delta_bet = {w: bet1[w] - bet0[w] for w in vocab}

print("\n🔹 تغيّر الدرجة المركزية:")
for w, d in delta_deg.items():
print(f"{w}: {d:.3f}")

print("\n🔹 تغيّر الوسطيّة (betweenness):")
for w, d in delta_bet.items():
print(f"{w}: {d:.3f}")

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6) التصوير

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pos = nx.spring_layout(G0, seed=42)

plt.figure(figsize=(12,6))

plt.subplot(1,2,1)
nx.draw(G0, pos, with_labels=True, node_color="skyblue", edge_color="gray", node_size=1200, font_family="Arial")
plt.title("الشبكة الأصلية")

plt.subplot(1,2,2)
nx.draw(G1, pos, with_labels=True, node_color="lightgreen", edge_color="gray", node_size=1200, font_family="Arial")
plt.title(f"بعد استبدال {A} ← {B}")

plt.show()