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Competition: Forecasting social network dynamic graph


Forecast the creation and disruption of edges in social networks representing social platforms, mobile clients, or the research community. Competition runs until Nov 28.



social network dynamic graph Forecasting the development of a social networks’ dynamic graph

International data science platform AlgoMost has launched a new challenge for data scientists on forecasting a development of social graph. The competition will run until November 30, 2014

With the appearance of social networks dynamic graph has become one of the main subjects of research in data analysis. This graph can change its features in time: its nodes and edges can appear and disappear.

Importantly, by social networks in mathematics is meant not only Facebook and other social platforms but also the clients of mobile operator (where edges are the facts of calls between subscribers), a scientific research community (where edges are the records of a collaborative study) and etc.

One of the most critical tasks is to forecast the formation or disruption of graph connections. For instance, if some nodes in the graph relate to “services”, “communities” and etc., and the formation of edges between them is interpreted as “service usage” or “joint to community”, the correct forecast of edge’s formation means an opportunity to offer needed services in time, to recommend a network user an appropriate community. In the first case it is possible to charge a fee for “service usage” earlier, in the second - to increase the user’s loyalty by target-oriented recommendations

All information about our new challenge can be found here: http://algomost.com/en/tasks/social-graph-en

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