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020    9783319059129|9978-3-319-05912-9 
024 7  10.1007/978-3-319-05912-9|2doi 
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245 00 State of the Art Applications of Social Network Analysis
       |h[electronic resource] /|cedited by Fazli Can, Tansel 
       Özyer, Faruk Polat. 
264  1 Cham :|bSpringer International Publishing :|bImprint: 
300    XII, 372 p. 137 illus., 94 illus. in color.|bonline 
336    text|btxt|2rdacontent 
337    computer|bc|2rdamedia 
338    online resource|bcr|2rdacarrier 
347    text file|bPDF|2rda 
490 1  Lecture Notes in Social Networks,|x2190-5428 
490 0  Springer eBooks.|aComputer Science 
505 0  A Randomized Approach for Structural and Message based 
       Private Friend Recommendation in Online Social Networks --
       Context Based Semantic Relations in Tweets -- Fast exact 
       and approximate computation of betweenness centrality in 
       social networks -- Network Simulation -- Early Stage 
       Conversation Catalysts on Entertainment-Based Web Forums -
       - Predicting Users Behaviours in Distributed Social 
       Networks Using Community Analysis -- What should we 
       protect? Defining differential privacy for social network 
       analysis -- Complex Network Analysis of Research Funding: 
       A Case Study of NSF Grants -- Community Evolutionary 
       Events in Online Social Networks -- @Rank: Personalized 
       Centrality Measure for Email Communication Networks -- 
       Twitter Sentiment Analysis: How To Hedge Your Bets In The 
       Stock Markets -- The Impact of Measurement Time on 
       Subgroup Detection in Online Communities -- Spatial and 
       Temporal Evaluation of Network-Based Analysis of Human 
       Mobility -- An Ant based Particle Swarm Optimization 
       Algorithm for Maximum Clique Problem in Social networks --
       XEngine: An XML Search Engine for Social Groups -- Size, 
       diversity and components in the network around an 
       entrepreneur: Shaped by culture and shaping embeddedness 
       of firm relations -- Content Mining of Microblogs. 
520    Social network analysis increasingly bridges the discovery
       of patterns in diverse areas of study as more data becomes
       available and complex. Yet the construction of huge 
       networks from large data often requires entirely different
       approaches for analysis including; graph theory, 
       statistics, machine learning and data mining. This work 
       covers frontier studies on social network analysis and 
       mining from different perspectives such as social network 
       sites, financial data, e-mails, forums, academic research 
       funds, XML technology, blog content, community detection 
       and clique finding, prediction of useŕ鳭 behavior, 
       privacy in social network analysis, mobility from spatio-
       temporal point of view, agent technology and political 
       parties in parliament. These topics will be of interest to
       researchers and practitioners from different disciplines 
       including, but not limited to, social sciences and 
650  0 Computer science. 
650  0 Data mining. 
650  0 Physics. 
650  0 Computational intelligence. 
650 14 Computer Science. 
650 24 Data Mining and Knowledge Discovery. 
650 24 Computational Intelligence. 
650 24 Complex Networks. 
700 1  Can, Fazli.,|eeditor. 
700 1  Özyer, Tansel.,|eeditor. 
700 1  Polat, Faruk.,|eeditor. 
710 2  SpringerLink (Online service) 
773 0  |tSpringer eBooks 
776 08 |iPrinted edition:|z9783319059112 
830  0 Lecture Notes in Social Networks,|x2190-5428 
856 40 |uhttps://cuarzo.unizar.es:9443/login?url=https://
       dx.doi.org/10.1007/978-3-319-05912-9|zAcceso al texto