{"product_id":"mining-complex-networks-9781041261926","title":"Mining Complex Networks","description":"\u003cp\u003e • Author(s): Bogumil Kamiński | Pawel Pralat | François Théberge\u003cbr\u003e • Publisher: CRC Press\u003cbr\u003e • Publisher Imprint: CRC Press\u003cbr\u003e • BISAC: Discrete Mathematics\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThis book concentrates on mining networks, a subfield within data science. Many data science problems can be viewed as a study of some properties of complex networks in which nodes represent the entities that are being investigated, and edges represent relations between these entities.\u003c\/p\u003e\u003cp\u003eIn these networks (for example, the Instagram and Facebook online social networks), nodes not only contain some useful information (such as the user's profile, photos, and tags) but are also internally connected to other nodes (relations based on follower requests, similar users' behaviour, age, and geographic location). Such networks are often large-scale, decentralized, and evolve dynamically over time.\u003c\/p\u003e\u003cp\u003eMining complex networks to understand the principles governing the organization and the behaviour of such networks is crucial for a broad range of fields of study, including information and social sciences, economics, biology, and neuroscience.\u003c\/p\u003e\u003cp\u003eThe field has seen significant advancements since the first edition was published. Changes and updates to this edition include: \u003c\/p\u003e\u003cul\u003e \u003cli\u003eNew material and examples on random geometric graphs.\u003c\/li\u003e \u003cli\u003eThe chapter on node embeddings was augmented in several places including a discussion on classical vs. structural embeddings, more details on graph neural networks (GNNs), as well as other directions.\u003c\/li\u003e \u003cli\u003eSeveral new tools and techniques are introduced on mining hypergraphs.\u003c\/li\u003e \u003cli\u003eNew material on post-processing for overlapping communities.\u003c\/li\u003e \u003cli\u003eA new focus on a framework for embedding graphs codeveloped by the authors.\u003c\/li\u003e \u003cli\u003eA short chapter on fairness in network mining models.\u003c\/li\u003e \u003c\/ul\u003e\u003cp\u003eThis book is aimed at being suitable for an upper-year undergraduate course or a graduate course.\u003c\/p\u003e","brand":"CRC Press","offers":[{"title":"Paperback","offer_id":47773061349527,"sku":"9781041261926","price":5344.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9781041261926.webp?v=1777977442","url":"https:\/\/atlanticbooks.com\/products\/mining-complex-networks-9781041261926","provider":"Atlantic Books","version":"1.0","type":"link"}