Companies reported that co-creation resulted in new products and services, an increased competitive advantage,new customers and a larger market share.Key drivers for co-creation in general include the adoption of co-creation practices by competitors, customer empowerment through web-based technologies, and the non-proximity requirement for creating a crowd.
Search for musical artists and discover similar singers and bands you never knew existed.
Welcome to MusicPlasma.com the original visual music mapping tool. Music Plasma is a visual search service that allows music lovers to discover new bands and artists that are closely related to their favorites. Our graphic interface lets you visualize how the groups are fused together. Just enter your favorite musical artist in the search bar below. A circle will appear on the music map. Click on it and chose expand to explore.
Of the hottest enterprise information management trends, social and collaboration is the most familiar to users already. But that doesn t make its selection and ROI any easier for enterprise data decision makers. So what should you weigh when considering strategies and tools for ESNs and collaboration suites?
L'innovation managériale comme réponse aux grands défis actuels des entreprises : résilience, hyper-innovation et bonheur au travail. (RT @GroupePoult: Innovation managériale : Il est grand temps de dépoussiérer le management!
Basée sur le partage, l’échange, le participatif, l’économie collaborative est en train de passer du système D à une véritable révolution économique et sociale. De son côté le management collaboratif devient un modèle si performant qu’il semblerait que l’entreprise de demain sera collaborative… ou ne sera pas. Au-delà d’un adjectif commun, quels liens peut-on faire entre ces deux phénomènes ?
Network methods have had profound influence in many domains and disciplines in the past decade. Community structure is a very important property of complex networks, but the accurate definition of a community remains an open problem. Here we defined community based on three properties, and then propose a simple and novel framework to detect communities based on network topology. We analyzed 16 different types of networks, and compared our partitions with Infomap, LPA, Fastgreedy and Walktrap, which are popular algorithms for community detection. Most of the partitions generated using our approach compare favorably to those generated by these other algorithms. Furthermore, we define overlapping nodes that combine community structure with shortest paths. We also analyzed the E. Coli. transcriptional regulatory network in detail, and identified modules with strong functional coherence.
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