{"product_id":"9783319289212","title":"Link Prediction in Social Networks","description":"\u003cp\u003eThis\nwork presents link prediction similarity measures for social networks that exploit\nthe degree distribution of the networks. In the context of link prediction in\ndense networks, the text proposes similarity measures based on Markov inequality\ndegree thresholding (MIDTs), which only consider nodes whose degree is above a threshold\nfor a possible link. Also presented are similarity measures based on cliques\n(CNC, AAC, RAC), which assign extra weight between nodes sharing a greater number\nof cliques. Additionally, a locally adaptive (LA) similarity measure is\nproposed that assigns different weights to common nodes based on the degree\ndistribution of the local neighborhood and the degree distribution of the\nnetwork. In the context of link prediction in dense networks, the text\nintroduces a novel two-phase framework that adds edges to the sparse graph to\nforma boost graph.\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003ePublication Year: \u003c\/strong\u003e2016\u003cbr\u003e\u003cstrong\u003eImprint: \u003c\/strong\u003eSpringer International Publishing\u003cbr\u003e\u003cstrong\u003e\u003c\/strong\u003eFormat: P\u003cbr\u003e\u003cstrong\u003e\u003c\/strong\u003eWeight (Gram): 1358\u003cbr\u003e\u003cstrong\u003e\u003c\/strong\u003e\u003cbr\u003e\u003cstrong\u003e\u003c\/strong\u003e\u003cbr\u003e\u003cstrong\u003e\u003c\/strong\u003e\u003cbr\u003e\u003cstrong\u003e\u003c\/strong\u003e\u003cbr\u003e\u003cstrong\u003e\u003c\/strong\u003e\u003cbr\u003e\u003cstrong\u003e\u003c\/strong\u003e\u003c\/p\u003e","brand":"Srinivas Virinchi","offers":[{"title":"Default Title","offer_id":41243777532082,"sku":"9783319289212","price":1106665.0,"currency_code":"IDR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0502\/5382\/4178\/products\/3319289217.01_SCLZZZZZZZ.jpg?v=1635555536","url":"https:\/\/readabook.store\/en-id\/products\/9783319289212","provider":"READABOOK BY ALKEM","version":"1.0","type":"link"}