Titlebook: User Community Discovery; Georgios Paliouras,Symeon Papadopoulos,Yiannis Kom Book 2015 Springer International Publishing Switzerland 2015

大腦

書目名稱User Community Discovery影響因子(影響力)




書目名稱User Community Discovery影響因子(影響力)學(xué)科排名




書目名稱User Community Discovery網(wǎng)絡(luò)公開度




書目名稱User Community Discovery網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱User Community Discovery被引頻次




書目名稱User Community Discovery被引頻次學(xué)科排名




書目名稱User Community Discovery年度引用




書目名稱User Community Discovery年度引用學(xué)科排名




書目名稱User Community Discovery讀者反饋




書目名稱User Community Discovery讀者反饋學(xué)科排名

demote

Discovery of Complex User Communities,covery of user communities in the social Web. In this context, the current chapter introduces the various types of user community, as they appeared in the early days of the Web, and how they converged to the common concept of . in the social Web. In this manner, the chapter aims to clarify the use o

委托

變形詞

Firefly

Discovering Communities in Multi-relational Networks,re prevalent in the real world. For example, interactions in social networks include various kinds of information diffusion: email exchange, instant messaging services and so on. Community detection is a long-standing yet very difficult task in social network analysis, especially when meeting MRNs.

清晰

Group Types in Social Media,munications between individuals to the macroscopic evolutionary patterns of the full interaction graph. Social communities, namely groups of people originated by any spontaneous aggregation process, constitute the mid-ground between such two extremes. Groups are important constituents of social envi

組成

Privacy Issues in Discovering Communities in Social Networks,o scenarios: privacy breach in social network data publishing and privacy breach in online social networks. We discuss various aspects of privacy issues in social networks, and summarize several representative studies on privacy protection techniques for social networks.

披肩

Book 2015ations in the context of the Web, pointing out the current and future challenges of the field. .Particular emphasis is placed on the issues of community representation, efficiency and scalability, detection of communities in hypergraphs, such as multi-mode and multi-relational networks, characteriza

Vaginismus

Book 2015ts, social scientists and complex systems researchers, as well as students within these disciplines, while the connections to real-world problem settings and applications makes the book appealing for engineers and practitioners in the industry, in particular those interested in the highly attractive fields of data science and big data analytics..

石墨

Community Discovery in Multi-Mode Networks, Though the work studied uses social networks as the basis for analysis, the use of multi-mode networks and hyperedges is principled in any analysis task where the complexity of the data calls for multiple types of entities with interactions involving two or more entities in the network.