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Titlebook: Network Analysis; Methodological Found Ulrik Brandes,Thomas Erlebach Textbook 2005 Springer-Verlag Berlin Heidelberg 2005 Computer.Graph th

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Jürgen Lernerusted’ to suit different contexts. Problems and opportunities, which emerge from ‘playing with time’, are identified and explored. A casual consideration of time may cause it to appear fixed and sequential. This exploration illustrates how simulation creates temporary experiences of stretched or tel
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Marc Nunkesser,Daniel Sawitzkie fieldwork is carried out, the results obtained provide the necessary feedback for orienting the materials designers to take into account the multiple applications of simulation and gaming. The development of a series of intensive modules for improving foreign language use in virtual and mobile con
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Michael Baur,Marc Benkertan commonsense ontology and its singular reality “out there” by playing with collateral realities and making their production explicit. During a larp, players (“larpers”) consciously undo objects and meanings, space, and even their very bodies to creatively weave new material-semiotic fabrics. They
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other ?elds. In order to make this book useful to a wider audience, we decided to keep the mathematical level of the book su?ciently low and often rely on heuristic arguments to stress the underlying ideas of the concepts introduced rather than insist on technical details. Ma- ematically oriented r
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Local Densitytypically founded by common goals, interests, preferences or other similarities. Standard examples include personal acquaintance relations, collaborative relations in several social domains, and coalitions or contractual relationships in markets. The cohesion inside these groups enables them to influence the functionality of the whole network.
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Clustering algorithmic issues on how to find such decompositions, i.e., tractability, while the second concerns quality assignment, i.e., how good is the computed decomposition. Owing to the informal notion of natural groups, many different disciplines have developed their view of clustering independently.
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