My central research interest is the principled measurement, analysis, and mining of large-scale complex social and communication networks. Networks are the natural framework of many of todays highest impact computing applications: online social networking, Web search, product recommendations, mobile ad-hoc networking, and online dating are just a few examples. My past and current research efforts coalesce into my long-term goal of developing measurement tools and explanatory and predictive models that can measure, explain, forecast, and enhance networked systems where entities interact and evolve in complex ways
Today’s social and internet networks contain millions or even billions of nodes, and copious amounts...
<p>Today’s social and internet networks contain millions or even billions of nodes, and copious amou...
Traditionally, social network models have been descriptive, rather than predictive: they are built a...
My main research interest lies in developing machine learning and large-scale data mining methods fo...
Network science is a discipline, a collection of tools, and a set of theories that allow for abstrac...
Network science is a discipline, a collection of tools, and a set of theories that allow for abstrac...
Network structure exists in various types of data in the real world, such as online and offline soci...
Complex networks are ubiquitous – from social and information systems to biological and technologica...
Social network analysis (SNA) encompasses a large set of methodological, statistical, and theoretica...
The scientific study of networks, including computer networks, social networks, and biological netwo...
The number of network science applications across many different fields has been rapidly increasing....
The number of network science applications across many different fields has been rapidly increasing....
Social network analysis (SNA) encompasses a large set of methodological, statistical, and theoretica...
The number of network science applications across many different fields has been rapidly increasing....
Network analysis and graph mining play a prominent role in providing insights and studying phenomena...
Today’s social and internet networks contain millions or even billions of nodes, and copious amounts...
<p>Today’s social and internet networks contain millions or even billions of nodes, and copious amou...
Traditionally, social network models have been descriptive, rather than predictive: they are built a...
My main research interest lies in developing machine learning and large-scale data mining methods fo...
Network science is a discipline, a collection of tools, and a set of theories that allow for abstrac...
Network science is a discipline, a collection of tools, and a set of theories that allow for abstrac...
Network structure exists in various types of data in the real world, such as online and offline soci...
Complex networks are ubiquitous – from social and information systems to biological and technologica...
Social network analysis (SNA) encompasses a large set of methodological, statistical, and theoretica...
The scientific study of networks, including computer networks, social networks, and biological netwo...
The number of network science applications across many different fields has been rapidly increasing....
The number of network science applications across many different fields has been rapidly increasing....
Social network analysis (SNA) encompasses a large set of methodological, statistical, and theoretica...
The number of network science applications across many different fields has been rapidly increasing....
Network analysis and graph mining play a prominent role in providing insights and studying phenomena...
Today’s social and internet networks contain millions or even billions of nodes, and copious amounts...
<p>Today’s social and internet networks contain millions or even billions of nodes, and copious amou...
Traditionally, social network models have been descriptive, rather than predictive: they are built a...