Competition-Based Benchmarking of Influence Ranking Methods in Social Networks
نویسندگان
چکیده
منابع مشابه
Data Analysis Methods in Social Networks
Background and Aim. The promising outlook of easy communication incurring minimum cost has caused social networks to face increasing number of active members each day. These members develop and expand international communication through information sharing including personal information. Thus, big data analysis of social networks provides companies, organizations and governments with ample and ...
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Nowadays, due to the widespread use of social networks, they can be used as a convenient, low-cost, and affordable tool for disseminating all kinds of information and data among the massive users of these networks. Issues such as marketing for new products, informing the public in critical situations, and disseminating medical and technological innovations are topics that have been considered b...
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In the last 10 years, a vast amount of scientific literature has studied the problem of influence maximization. Yet, only very recently have scientists started considering the more realistic case in which competing entities try to expand their market and maximize their share via viral marketing. Goyal and Kearns [STOC 2012] present a model for the diffusion of two competing alternatives in a so...
متن کاملRanking Methods for Networks
Glossary Ranking: sort objects according to some order. Query-dependent ranking: objects are assigned with different ranks according to different queries. Proximity ranking: objects are ranked according to proximity or similarity to other objects. Homogeneous information network: networks that contain one type of objects and one type of relationships. Heterogeneous information network: networks...
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ژورنال
عنوان ژورنال: Complexity
سال: 2018
ISSN: 1076-2787,1099-0526
DOI: 10.1155/2018/4562609