Funding Networks Abdullah Sevincer University of Nevada, Reno Department of Computer Science & Engineering.

Funding Networks

Abdullah Sevincer University of Nevada, Reno

Department of Computer Science & Engineering

AgendaMotivation & StudyIntroduction Background & Related WorkConclusionQuestions?

Motivation & StudyThe funding from the government

agencies has been the driving force for the research an educational institutes.

The data of funding is available to public.

The institutes, authors and co-authors of funding information forms a complex network.

Motivation & StudyUsing the funding data collected

from the government agencies discover the complex network of funding.

Explore the features of this complex network by applying complex network theories.

Introduction

Complex networks is a young and active area of scientific research inspired largely by the empirical study of real-world networks such as computer networks and social networks.

Complex network theory of information a reveals the structure of a complex network from a data set which stays as a statistical information

IntroductionBetter understanding of the

structure of the network

Who is the most outstanding?

IntroductionPresent the data set in complex

network form to infer the complex network properties of the data.

Using statistical models doesn’t help.

Data: The funding from the government agencies.

Introduction

The information is statistical.

Data contains all of the information.

Collect this data set and and apply complex network theory.

Derive new characteristics

IntroductionHelp government to distribute

fund properly.Discover the properties of

funding network.Combine or collaborate

redundant research topics based upon relationship between researchers and research topic.

IntroductionLocate, collect and organize the

data.The data collection technique is

manual.Use local data base for the data

storage.Custom developed tool to

generate network file.Visualize the network data using

network visualization tools.

Background & Related WorkThere hasn’t been a study related

to Research Funding Network in Complex Network area.

Similar work includes people in a social network such as authors network legal citation network or citation network for patent classification.

Background & Related WorkCotta, et. al., Explores the network of authors of

evolutionary computation papers found in a major bibliographic data base.

Compare this network with the other co-authorship networks and explore some distinctive properties of this network

Background & Related WorkWhat kind of macroscopic values

the network yield?Which are the most outstanding

actors (authors) and edges (co-authors) within the network?

Who are the central authors in the network and what determines their prominency in the area.

Background & Related WorkLi, et. al., Use patent citation information

and network to address the patent classification problem.

Adopt a kernel based approach and design kernel functions to capture content information and various citation related information in patents.

Background & Related WorkThey show that proposed labeled

citation graph kernel with utilization of citation networks outperforms the one that uses no citation or only direct citation information.

Background & Related WorkPatent application: appropriate patent

examiner-(assigning)categories in patent classification scheme.

The classification of patents are very important and labor task since the patent applications increase by year.

Manual classification of patents is labor intensive and time consuming.

The previous methods are not efficient to classify the patents into categories.

Background & Related WorkZhang, et. al., Present Semantics based legal

citation network Viewer as a research tool for legal professionals.

The viewer accurately traces a given legal issue in past and subsequent cases along citation links, and gives the user a visual image of how the citation on the same issue are interrelated.

Background & Related WorkAll the background can be associated

to proposed research funding network in one way to another.

They are different in structure and scale of the network.

They don’t fit for the required network with limitations and different analysis.

The funding network forms a different complex network with its own features and relations.

Conclusions & SummaryDiscover the complex network of

funding.Collect the data, organize and

apply complex network theories to better understand and explore the distinctive specifications of Funding Network.

Compare with other networks find the similarities and differences.

Conclusions & SummaryFind who is the most outstanding,

who is at the bottom of the line.Who is central?Closeness and betweenness

centrality?How researchers and institutions are

connected via grants?What is the density (i.e. clustering) of

funding networks and how it differs with different year and research field?

Conclusions & SummaryWhether researcher and institutions

form assortativity in their collaborations?Whether there is a rich club among

institutions or researchers?How social network characteristics of

funding networks change over time?Whether different research fields have

different characteristics?Whether there are different patterns in

different funding levels (e.g. 0-1K,1K-0.5M, 0.5M-1M)?

Questions