LEADER 02754nam 2200637 a 450 001 9910958406803321 005 20250513225351.0 010 $a9783842816459 010 $a3842816456 010 $a9783836646178 010 $a383664617X 035 $a(CKB)2670000000061363 035 $a(EBL)616759 035 $a(OCoLC)694343209 035 $a(SSID)ssj0000655906 035 $a(PQKBManifestationID)12253254 035 $a(PQKBTitleCode)TC0000655906 035 $a(PQKBWorkID)10631641 035 $a(PQKB)10796531 035 $a(SSID)ssj0001031890 035 $a(PQKBManifestationID)11672097 035 $a(PQKBTitleCode)TC0001031890 035 $a(PQKBWorkID)11090509 035 $a(PQKB)11146470 035 $a(MiAaPQ)EBC616759 035 $a(Au-PeEL)EBL616759 035 $a(CaPaEBR)ebr10489543 035 $a(Perlego)1797867 035 $a(EXLCZ)992670000000061363 100 $a20110902d2010 uy 0 101 0 $ager 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aFaszination Facebook $eso fern und doch so nah : Psycho-soziale Motivatoren für die aktive Partizipation bei Social Networking Sites /$fRemo Schilliger 205 $a1st ed. 210 $aHamburg $cDiplomica Verlag$d2010 215 $a1 online resource (67 p.) 300 $aTitle from cover. 311 08$a9783836696173 311 08$a3836696177 320 $aIncludes bibliographical references. 327 $aFaszination Facebook: So fern und doch so nah; Abstract; Inhaltsverzeichnis; Abbildungs- und Tabellenverzeichnis; 1. Einleitung; 2. Soziale Netzwerke im Internet; 3. Facebook; 4. Motivations-Theorien und die praktischen Facebook-Umsetzungen; 5. Fazit; 6. Quellenverzeichnis; Autorenprofil 330 $aHauptbeschreibung Im modernen Internet, in der Fachsprache Web 2.0 genannt, spielen die Social Networking Sites, allen voran Facebook, eine wichtige Rolle in der virtuellen Kommunikation zwischen Menschen. Die Studie befasst sich mit den Motivationsfaktoren, welche fu?r eine aktive Partizipation bei SNS bzw. Facebook eine Rolle spielen. Das Buch umfasst eine Einfu?hrung in die Themen Facebook und soziale Netzwerke. Drei Modelle und Theorien werden beschrieben und mit Facebook in Verbindung gebracht. Praxiserfahrungen und Ru?ckschlu?sse des Autors u?ber mehrere Monate geben der Arbeit ein 606 $aOnline social networks$xPsychological aspects 615 0$aOnline social networks$xPsychological aspects. 676 $a006.76 700 $aSchilliger$b Remo$01809515 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910958406803321 996 $aFaszination Facebook$94360342 997 $aUNINA LEADER 05085nam 22006375 450 001 9910739488603321 005 20250609110056.0 010 $a9783319168296 010 $a3319168290 024 7 $a10.1007/978-3-319-16829-6 035 $a(CKB)3710000000402940 035 $a(EBL)2095951 035 $a(SSID)ssj0001501206 035 $a(PQKBManifestationID)11848373 035 $a(PQKBTitleCode)TC0001501206 035 $a(PQKBWorkID)11522245 035 $a(PQKB)11650634 035 $a(DE-He213)978-3-319-16829-6 035 $a(MiAaPQ)EBC2095951 035 $a(PPN)185488153 035 $a(MiAaPQ)EBC3110151 035 $a(EXLCZ)993710000000402940 100 $a20150421d2015 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aGranular Computing and Decision-Making $eInteractive and Iterative Approaches /$fedited by Witold Pedrycz, Shyi-Ming Chen 205 $a1st ed. 2015. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2015. 215 $a1 online resource (369 p.) 225 1 $aStudies in Big Data,$x2197-6503 ;$v10 300 $aDescription based upon print version of record. 311 08$a9783319168289 311 08$a3319168282 320 $aIncludes bibliographical references and indexes. 327 $aGranularity Helps Explain Seemingly Irrational Features of Human Decision Making -- A Comprehensive Granular Model for Decision Making with Complex Data.-Granularity in Economic Decision Making: An Interdisciplinary Review -- Decision Makers? Opinions Changing Attitude-Driven Consensus Model under Linguistic Environment and Its Application in Dynamic MAGDM -- Using Computing with Words for Managing Non-Cooperative Behaviors in Large Scale Group Decision Making -- A Type-2 Fuzzy Logic Approach for Multi-Criteria Group Decision Making -- Multi-Criteria Influence Diagrams ? A Tool for the Sequential Group Risk Assessment.-Consensus Modeling under Fuzziness ? A Dynamic Approach with Random Iterative Steps -- Decision Making ? Interactive and Interactive Approaches -- Collaborative Decision Making by Ensemble Rule Based Classification Systems -- A GDM Method Based on Granular Computing for Academic Library Management -- Spatial-taxon Information Granules as Used in Iterative Fuzzy-Decision-Making for Image Segmentation -- Group Decision Making in Fuzzy Environment ? An Iterative Procedure Based on Group Dynamics -- Fuzzy Optimization in Decision Making of Air Quality Management -- Group Decision Making in Fuzzy Environment ? An Iterative Procedure Based on Group Dynamics -- Fuzzy Optimization in Decision Making of Air Quality Management. 330 $aThis volume is devoted to interactive and iterative processes of decision-making? I2 Fuzzy Decision Making, in brief. Decision-making is inherently interactive. Fuzzy sets help realize human-machine communication in an efficient way by facilitating a two-way interaction in a friendly and transparent manner. Human-centric interaction is of paramount relevance as a leading guiding design principle of decision support systems.   The volume provides the reader with an updated and in-depth material on the conceptually appealing and practically sound methodology and practice of I2 Fuzzy Decision Making. The book engages a wealth of methods of fuzzy sets and Granular Computing, brings new concepts, architectures and practice of fuzzy decision-making providing the reader with various application studies.   The book is aimed at a broad audience of researchers and practitioners in numerous disciplines in which decision-making processes play a pivotal role and serve as a vehicle to produce solutions to existing problems. Those involved in operations research, management, various branches of engineering, social sciences, logistics, and economics will benefit from the exposure to the subject matter. The book may serve as a useful and timely reference material for graduate students and senior undergraduate students in courses on decision-making, Computational Intelligence, operations research, pattern recognition, risk management, and knowledge-based systems. 410 0$aStudies in Big Data,$x2197-6503 ;$v10 606 $aComputational intelligence 606 $aArtificial intelligence 606 $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 615 0$aComputational intelligence. 615 0$aArtificial intelligence. 615 14$aComputational Intelligence. 615 24$aArtificial Intelligence. 676 $a006.3 676 $a620 702 $aPedrycz$b Witold$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aChen$b Shyi-Ming$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a9910739488603321 996 $aGranular Computing and Decision-Making$91465897 997 $aUNINA LEADER 01173nam 22003853 450 001 9911018647603321 005 20250802060322.0 010 $a9783031917394 035 $a(CKB)39767161500041 035 $a(MiAaPQ)EBC32250658 035 $a(Au-PeEL)EBL32250658 035 $a(EXLCZ)9939767161500041 100 $a20250802d2025 uy 0 101 0 $aita 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aRose Selvatiche Siciliane $eCaratteristiche Biomorfologiche e Fitochimiche, Propagazione, Coltivazione Innovativa Ed Ecosostenibile, Utilizzi e Potenziali Applicazioni 205 $a1st ed. 210 1$aCham :$cSpringer,$d2025. 210 4$d©2025. 215 $a1 online resource (102 pages) 311 08$a9783031917387 700 $aFascella$b Giancarlo$01836487 701 $aMammano$b Michele Massimo$01836488 701 $aSalamone$b Adele$01836489 701 $aGreco$b Carlo$09356 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911018647603321 996 $aRose Selvatiche Siciliane$94414607 997 $aUNINA