Web Intelligence (WI): A New Paradigm for Developing the Wisdom Web and Social Network Intelligence

2003 ◽  
pp. 1-16 ◽  
Author(s):  
Ning Zhong ◽  
Jiming Liu ◽  
Yiyu Yao
Author(s):  
Carlos Reynoso

This paper sur veys the reciprocal impacts between Social Network Analysis and the new paradigm of complexity and chaos theories, as well as the emergence of scale-free network research in the twenty-first centur y. This study is embedded in the context of a histor y of the most momentous events in network theor y and practice , from Euler to Barabási, used as a star ting point to interrogate some critical epistemological issues from the viewpoint of contemporar y social sciences.


2018 ◽  
Vol 6 ◽  
pp. 58-68
Author(s):  
Giuseppe Cascavilla ◽  
Filipe Beato ◽  
Andrea Burattin ◽  
Mauro Conti ◽  
Luigi Vincenzo Mancini

2020 ◽  
Author(s):  
Yoshida Rao

Earlier engineering was done by few people. But now with ever increasing knowledge base with the public, there is need to tap that source. But this tapping of knowledge base of the public cannot be done in technical terms. There is need to express knowledge in non technical terms by use of logical reasoning, modeling of ideas, etc. Seeing these non technical details on website, some people can even put their responses, or ask for clarification of some points. Now if designers see this information they can answer those queries. Modern engineering is not limited to the handful designers alone, country has a large knowledge base in public, but a company cannot hire all people, so there needs to place a mechanism by which designers can come in contact with the people, understand and incorporate their feedback and answer their queries.Quality control tools (like flowchart, Cause-effect or fishbone diagrams, force field analysis, interrelations digraph, affinity diagram, and variability matrix) have been quite popular as they explain the engineering processes in a non technical way, yet they analyze the underlying process thoroughly.With the advent of modern computers, a new paradigm has been opened in terms of Social Network analysis, which connects people in a faster manner and lead to quicker information flow. In this project we propose to use the above mentioned Quality Control tools with Social Network modeling concepts to bring every bit of information available with the people at lower working level in a systematic and structured manner in the front of senior decision making level.


Complexity ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Andrey Dmitriev ◽  
Vasily Kornilov ◽  
Svetlana Maltseva

Recent developments in nonlinear science have caused the formation of a new paradigm called the paradigm of complexity. The self-organized criticality theory constitutes the foundation of this paradigm. To estimate the complexity of a microblogging social network, we used one of the conceptual schemes of the paradigm, namely, the system of key signs of complexity of the external manifestations of the system irrespective of its internal structure. Our research revealed all the key signs of complexity of the time series of a number of microposts. We offer a new model of a microblogging social network as a nonlinear random dynamical system with additive noise in three-dimensional phase space. Implementations of this model in the adiabatic approximation possess all the key signs of complexity, making the model a reasonable evolutionary model for a microblogging social network. The use of adiabatic approximation allows us to model a microblogging social network as a nonlinear random dynamical system with multiplicative noise with the power-law in one-dimensional phase space.


i-com ◽  
2005 ◽  
Vol 4 (2) ◽  
pp. 29-36
Author(s):  
Matthias Trier

ZusammenfassungDie gegenwärtige Softwareunterstützung für Communities of Practice bietet ihren Mitgliedern eine Vielzahl von Funktionalitäten zur Inhaltserstellung und Kommunikation. Die insbesondere im Unternehmenseinsatz relevante Zielgruppe der Community Koordinatoren wird jedoch bisher nicht ausreichend berücksichtigt. Für sie sind zur Entwicklung ihres Netzwerkes Analysen und Bewertungen der Struktur, des Wissenstransfers und des Wachstums des Wissensnetzwerkes hilfreich. Um diesem Bedarf Rechnung zu tragen, stellt der Artikel ein Softwareprojekt vor, welches eine Auswertung und Bewertung von virtuellen Wissensgemeinschaften ermöglicht. Hierzu werden automatisch verfügbare elektronische Daten verschiedener Kommunikationsnetzwerke wie z.B. E-Mail, Diskussionsforen oder Instant Messaging extrahiert und mit Hilfe eines speziellen Ansatzes zur Messung und Bewertung der Netzwerke über quantitative Messzahlen und Indikatoren systematisch ausgewertet. Des Weiteren entstehenden strukturelle Visualisierungen, welche Social Network Intelligence Verfahren mit Keywordanalysen verbinden. Mit diesem Ansatz kann der professionelle Einsatz von Communities of Practice im Rahmen eines betrieblichen Wissensmanagements erleichtert werden, indem z.B. die Identifikation von wichtigen Teilnehmern, Wissensbereichen oder Expertengruppen im Netzwerk, aber auch die Beobachtung der Entwicklung der Community im Zeitablauf ermöglicht wird.


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