adjacency 的音標(biāo)是 [??d??s??ns]，基本翻譯是“接近，鄰近；毗鄰”。速記技巧是：ad（注意）＋jac（擠）＋ence（名詞后綴）→adjacency。

adjacency 的英文詞源為 adjacere（接近）+ ency（狀態(tài)）。adjacency 表示“接近”的狀態(tài)，通常指兩個(gè)物體之間的空間關(guān)系。

adjacency 的變化形式主要有兩種：其一是比較級(jí) more adjacency，其二是最高級(jí) most adjacency，表示“更為接近”或“最為接近”的狀態(tài)。

相關(guān)單詞與adjacency 相關(guān)的單詞有 adjacently、adjoin、adhesion、adherence、adhesive 等。adjacently 意為“接近地”，表示在空間或時(shí)間上的接近。adjoin 意為“毗鄰”，表示兩個(gè)物體在空間上相鄰。adhesion 意為“粘附”，與 adhesive（粘合劑）和adhesive（膠水）等詞有關(guān)，表示物體之間的粘附關(guān)系。這些單詞都與 adjacency 有著密切的聯(lián)系，描述了物體之間的空間關(guān)系和物理特性。

舉例來(lái)說(shuō)，在建筑領(lǐng)域，adjacency 常常被用來(lái)描述房屋之間的距離和布局，比如一棟房子毗鄰另一棟房子，或者兩棟房子之間有足夠的空間可以互相接近。在醫(yī)學(xué)領(lǐng)域，adhesion 常常被用來(lái)描述手術(shù)后的傷口粘連，這可能會(huì)影響患者的康復(fù)。在藝術(shù)領(lǐng)域，adhesive 則常常被用來(lái)描述膠水等粘合劑，這些粘合劑在藝術(shù)創(chuàng)作中發(fā)揮著重要的作用。

總之，adjacency 作為英文單詞，表示物體之間的空間關(guān)系和物理特性，具有廣泛的應(yīng)用領(lǐng)域和意義。

adjacency短語(yǔ)：

1. adjacency list - 鄰接列表

2. adjacency matrix - 鄰接矩陣

3. adjacency list of graph - 圖鄰接列表

4. adjacency matrix of graph - 圖鄰接矩陣

5. adjacency relation - 鄰接關(guān)系

6. adjacency set - 鄰接集

7. adjacency property - 鄰接性質(zhì)

雙語(yǔ)例句：

1. The adjacency list is a convenient way to represent a graph. (鄰接列表是表示圖的一個(gè)方便的方法。)

2. The adjacency matrix can be used to quickly calculate the shortest path between two nodes. (鄰接矩陣可以用來(lái)快速計(jì)算兩個(gè)節(jié)點(diǎn)之間的最短路徑。)

3. The adjacency relation between two people is determined by their social interactions. (兩個(gè)人之間的鄰接關(guān)系是由他們的社會(huì)互動(dòng)決定的。)

4. In this graph, the adjacency set includes all the possible connections between nodes. (在這個(gè)圖中，鄰接集包括所有節(jié)點(diǎn)之間的可能連接。)

5. The adjacency property of a node determines its connectivity in the network. (節(jié)點(diǎn)的鄰接性質(zhì)決定了它在網(wǎng)絡(luò)中的連通性。)

英文小作文：

Adjacency Matters

Adjacency is a fundamental concept in many fields, including graph theory and social networks. In a graph, adjacency refers to the relationship between two nodes, where they are connected by an edge. This concept is crucial in understanding the structure and properties of networks.

In social networks, for example, adjacency refers to the relationships between individuals, such as friendships, relationships, or connections. Understanding the adjacency matrix of a social network allows us to analyze its topology and identify key players and influential nodes. Similarly, in graph theory, adjacency matrices are used to represent complex networks and analyze their properties, such as shortest paths and community structure.

Adjacency also plays a key role in machine learning and data science, where it is used to represent relationships between data points. In recommender systems, for instance, the adjacency matrix represents the relationships between users and items, allowing us to identify patterns and predict user behavior. Similarly, in social media analysis, adjacency lists are used to represent user interactions and identify trends and patterns in online conversations.

Adjacency is a fundamental concept that underlies many real-world applications and has profound implications for understanding complex systems and networks.