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Encyclopedia of Social Network Analysis and Mining de Reda Alhajj

Encyclopedia of Social Network Analysis and Mining

Editat de Reda Alhajj, Jon Rokne
en Limba Engleză Hardback – 24 aug 2014

Descoperim aici un exercițiu riguros de modelare a rețelelor sociale, unde construcția și evoluția modelelor sunt analizate prin prisma geometriei computaționale aplicate. Encyclopedia of Social Network Analysis and Mining nu este doar un dicționar de termeni, ci o resursă tehnică ce demonstrează cum algoritmii de machine learning pot fi utilizați pentru a extrage sens din volume uriașe de date colectate din comunitățile online. Reținem abordarea progresivă a celor doi editori, Reda Alhajj și Jon Rokne, care pornesc de la bazele matematice — algebra liniară și statistica — pentru a ajunge la aplicații critice în securitatea cibernetică și analiza sentimentelor. Ca și Nasrullah Memon în From Sociology to Computing in Social Networks, autorii distilează experiența reală în principii acționabile, făcând puntea necesară între teoriile sociologice clasice și puterea de calcul modernă. Această ediție a doua, publicată de Springer, reflectă maturizarea domeniului prin includerea unor secțiuni dedicate Web 2.0 și Web-ului Semantic. Structura este organizată tematic, facilitând tranziția de la managementul datelor și extragerea acestora la analize complexe de fuziune a informațiilor și influență în social media. În contextul operei editorului Reda Alhajj, această enciclopedie reprezintă punctul culminant al cercetărilor sale anterioare. Dacă în Disease Control Through Social Network Surveillance acesta se concentra pe un domeniu de nișă, iar în Data Management and Analysis punea bazele infrastructurii informaționale, aici livrează o viziune panoramică. Lucrarea integrează armonios metodele de data mining cu aplicații practice în business și securitate, oferind un instrumentar complet pentru oricine dorește să înțeleagă arhitectura invizibilă a interacțiunilor umane digitale.

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Specificații

ISBN-13: 9781461461692
ISBN-10: 1461461693
Pagini: 2437
Ilustrații: XLVIII, 2437 p. 611 illus., 425 illus. in color. In 3 volumes, not available separately.
Dimensiuni: 183 x 260 x 154 mm
Greutate: 5.35 kg
Ediția:2014 edition
Editura: Springer
Locul publicării:New York, NY, United States

Public țintă

Upper undergraduate

De ce să citești această carte

Recomandăm această enciclopedie cercetătorilor și profesioniștilor IT care au nevoie de o fundamentare teoretică și practică solidă în analiza datelor de rețea. Cititorul câștigă acces la o sinteză vastă de metodologii, de la teoria grafurilor la tehnici de opinion mining. Este o investiție esențială pentru bibliotecile academice și specialiștii în data science care doresc să stăpânească complexitatea rețelelor sociale moderne.

Despre autor

Reda Alhajj și Jon Rokne sunt figuri proeminente în domeniul informaticii, cu o activitate editorială și de cercetare axată pe data mining și analiza sistemelor complexe. Reda Alhajj, profesor și cercetător prolific, a coordonat numeroase lucrări de referință la Springer, explorând intersecția dintre managementul datelor și comportamentul social. Expertiza sa se extinde de la supravegherea rețelelor pentru controlul bolilor până la analiza influenței în social media. Împreună cu Jon Rokne, a reușit să transforme Encyclopedia of Social Network Analysis and Mining în standardul de aur al literaturii de specialitate, integrând contribuții din matematică, statistică și științe comportamentale.

Descriere scurtă

The Encyclopedia of Social Network Analysis and Mining (ESNAM) is the first major reference work to integrate fundamental concepts and research directions in the areas of social networks and  applications to data mining. While ESNAM  reflects the state-of-the-art in  social network research, the field  had its start in the 1930s when fundamental issues in social network research were broadly defined. These communities were limited to relatively small numbers of nodes (actors) and links. More recently the advent of electronic communication, and in particular on-line communities, have created social networks of hitherto unimaginable sizes. People around the world are directly or indirectly connected by popular social networks established using web-based platforms rather than by physical proximity.

Reflecting the interdisciplinary nature of this unique field, the essential contributions of diverse disciplines, from computer science, mathematics, and statistics to sociology and behavioral science, are described among the 300 authoritative yet highly readable entries. Students will find a world of information and insight behind the familiar façade of the social networks in which they participate. Researchers and practitioners will benefit from a comprehensive perspective on the methodologies for analysis of constructed networks, and the data mining and machine learning techniques that have proved attractive for sophisticated knowledge discovery in complex applications. Also addressed is the application of social network methodologies to other domains, such as web networks and biological networks.

Cuprins

Applied Computational Geometry for Social Networks.- Basics of Social Network Model Construction and Evolution.- Current and Future Research Directions.- Data Collection, Data Extraction, and Data Preparation for Social Networks Analysis and Mining.- Data Management for Social Networks and Social Media.- Data Mining and Machine Learning Techniques for Social Networks.- Graph Theory for Social Networks (Sociograms).- History of Social Networks: Past, Present and Future.- Internet, Web 2.0, Web Services and Semantic Web.- Linear Algebra and Statistics for Social Networks.- Online Social Networks, Social Networking Sites and Social Media.- Privacy and Security Issues in Social Networks.- Social Communities.- Social Network Analysis.- Social Network Applications in Business, Organizations, industry and Case studies.- Social Network Applications in Homeland Security, Terrorism, Fraud Detection, Public Sector, Politics and Case studies.- Social Network Applications in Scientific, Engineering, medical domain and Case studies.- Social Network Construction, Visualization and Analysis Tools.- Spatio-Temporal Aspects in Social Networks and Social Media.- Static Versus Dynamic Networks.- Technology for Online Social Networking and Human Computer Interact.

Notă biografică

Reda Alhajj is a Professor in the Department of Computer Science at the University of Calgary. He published over 350 papers in reputable journals and fully refereed international conferences. He served as program chair of several conferences and on the program committee of large number of International conferences including IEEE ICDE, IEEE ICDM, IEEE IAT, IEEE WI, SIAM DM, AAAI, IJCAI, etc. He also served as guest editor of several special issues and is currently the program chair of IEEE IRI 2011, CaSoN 2011, ASONAM 2011, IEEE HPPC 2011 and OSINT-WM 2011. He is on the editorial board of several journals; he associate editor of IEEE SMC- Part C. He is editor in chief of SNAM Journal and the Lecture Notes in Social Networks series by Springer. He frequently gives invited talks in North America, Europe and the Middle East. Dr. Alhajj's has a large research group which in 2010 had 10 PhD and 8 MSc students working primarily in the areas of biocomputing and biodata analysis, datamining, multiagent systems, schema integration and re-engineering, social networks and XML. He received Outstanding Achievements in Supervision Award from the Faculty of Graduate Studies at the University of Calgary. He closely collaborates with RBC Canada.He is married and has three daughters and two sons.
Jon Rokne is a Professor in the Department of Computer Science at the University of Calgary where he chaired the department from 1989 to 1996. He obtained an M. Sc. from the University of Alberta and a Ph. D. from the University of Calgary, both in the area of applied mathematics with a numerical analysis emphasis. His main applied mathematics interests have been interval analysis and global optimization and he has co-authored three books in these areas. In computer science the focus has been computer graphics and physically and biologically based computer simulations with publications on the visual simulation of leaves, auroras, sky, Chinese calligraphy, seismic visualization and ball lightening. He has published one jointly authored computer science book entitled "Light Interaction with Plants". He has also published papers in the areas of computational geometry, computer-aided design and social networks. In 2009 and 2010 he was the publicity chair for ASONAM. His extracurricular activities have included skiing, hiking and mountaineering. He is married and his wife teaches in the Faculty of Education of the University of Calgary. He has two sons.

Caracteristici

Explains the science and technology behind the rapidly growing global avenues for exchanging views and influencing others Presents the first comprehensive coverage of all fields that contribute to social network construction and analysis as a multidisciplinary domain Designed to appeal to an interdisciplinary audience ranging from the undergraduate to professional level Describes social network applications to knowledge mining and discovery Addresses privacy, security, ethical, and civil liberty issues for social networks Includes supplementary material: sn.pub/extras