Demo Data from EDBT 2026 / reviewers in the wild / expert
Arun Sundararajan
dblp:41/2577
· DBLP profile ↗
4ranked-venue papers
0as first author
0since 2021 · last 2007
0000-0002-8411-5301ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 4Theory of computation · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Interdisciplinary, comprehensive, and emerging computing
2 papers |
Computational finance and economics · 87% Computational social science and digital humanities · 13% | |
| Artificial intelligence
1 paper |
Information extraction and text analysis · 50% Multi-agent systems · 50% | |
| Theoretical computer science
1 paper |
Graph algorithms and graph theory · 100% |
Topics — the 6 heaviest of 6, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Knowledge, reasoning and agents › Multi-agent systems › trust modeling
reputation systems |
0.1 | 1 | 2007 | Opinion Mining using Econometrics: A Case Study on Reputation Systems · ACL 2007 |
Natural language and speech › Information extraction and text analysis
sentiment analysis |
0.1 | 1 | 2007 | Opinion Mining using Econometrics: A Case Study on Reputation Systems · ACL 2007 |
Computational finance and economics › economics
econometrics |
0.1 | 1 | 2007 | Opinion Mining using Econometrics: A Case Study on Reputation Systems · ACL 2007 |
Computational finance and economics
electronic commerce |
0.1 | 1 | 2007 | Modeling complex networks for electronic commerce · EC 2007 |
Computational social science and digital humanities › social computing
reputation system |
0.0 | 1 | 2007 | Opinion Mining using Econometrics: A Case Study on Reputation Systems · ACL 2007 |
Graph algorithms and graph theory
network analysis |
0.0 | 1 | 2007 | Modeling complex networks for electronic commerce · EC 2007 |
Methods — techniques the papers use, named apart from their topics
econometrics · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2007 | Opinion Mining using Econometrics: A Case Study on Reputation Systems
Anindya Ghose, Panagiotis G. Ipeirotis, Arun Sundararajan |
ACL | 3 |
| 2007 | Modeling complex networks for electronic commerceabstractNYU, Stern School of Business, IOMS Department, Center for Digital Economy Research Foster J. Provost, Arun Sundararajan |
EC | 2 |
| 2006 | Intelligent agents in electronic markets for information goods: customization, preference revelation and pricing
Ravi Aron, Arun Sundararajan, Siva Viswanathan |
Decis. Support Syst. | 2 |
| 1998 | An economic analysis of electronic secondary markets: installed base, technology, durability and firm profitabilityabstractThe Internet has spawned a number of partially structured electronic secondary markets, which enable the trading of secondary goods between consumers. Many of these, such as Usenet groups, or WWW sites for niche products, tend to be self-administering; however, there has been significant recent growth in the number of more general web-based markets of this kind. These electronic secondary markets, while facilitating reliable and liquid trade of used goods, could also have an impact on the desirability of new products, as well as products that are complementary/compatible to those traded. We present an economic framework for analyzing how these markets affect the demand for a primary product. We examine when it is optimal for a firm to operate a market of this kind, and when its presence is socially optimal. Surprisingly, we find that in a number of cases, the presence of these markets has a primary positive effect on the profitability of a new good; this leads us to conjecture that there will soon be a number of such trading forums operated by manufacturers of primary goods. We also find that in a majority of cases, it is feasible for a third-party intermediary to profitably operate such a market. Key parameters that affect the desirability of the market are the existing installed customer base, the cost of information technology, the durability of the products in question, their rate of technological obsolescence and the nature of customer preferences. Ravi Arunkundram, Arun Sundararajan |
Decis. Support Syst. | 2 |