SGER: An Event-Driven Approach for Analyzing Interaction Networks

来自许多不同真实世界领域的数据集可以以简洁和有意义的方式以交互网络的形式表示。例子比比皆是，从基因表达网络到社交网络，从万维网到蛋白质-蛋白质相互作用网络。对这些经常在进化的复杂相互作用网络的研究，可以提供对它们的结构、属性和行为的洞察。识别网络中正在变化的部分，表征变化的类型，并提取有助于预测未来事件和行为的相关模式，这些都是在这种背景下需要应对的关键挑战。为此，PI计划探索和设计一种事件驱动的方法论，从节点级和社区级的角度研究此类交互网络的进化行为。这项研究的主要科学成果将包括从临床和社交环境中提取、分析和理解这种动态交互网络的关键模式和特征的能力。这项工作的更广泛成果将是在网络分析和数据挖掘领域培养有能力的研究生和本科生。将特别鼓励妇女和少数族裔参与，并将加强与当地HBCU的现有互动。项目页面：http://www.cse.ohio-state.edu/~srini/SGER/information

Datasets originating from many different real-world domains can be represented in the form of interaction networks in a concise and meaningful fashion. Examples abound, ranging from gene expression networks to social networks, and from the World Wide Web to protein-protein interaction networks. The study of these complex interaction networks, which are often evolving, can provide insight into their structure, properties and behavior. Identifying the portions of the network that are changing, characterizing the type of change and extracting relevant patterns that can help predict future events and behavior are all critical challenges that need to be met in this context. To this end the PI plans to explore and design an event-driven methodology to study the evolutionary behavior of such interaction networks from the perspective of node-level and community-level viewpoints. Incorporating semantic information and leveraging graph grammars in a structured manner will also be explored in this context.The main scientific outcome of this research will include the ability to extract, analyze and understand key patterns and features of such dynamic interaction networks in the context of end applications drawn from clinical and social settings. The broader outcomes of this work will be to train capable graduate and undergraduate students in the fields of network analysis and data mining. Women and minorities will be especially encouraged to participate and existing interactions with a local HBCU will be strengthened.Project Page: http://www.cse.ohio-state.edu/~srini/SGER/information