Finding Experts Using Social Network Analysis

Yao, Limin; Tang, Jie; Li, Juanzi

doi:10.1109/wi.2007.14

Cited by 37 publications

(15 citation statements)

References 3 publications

(4 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Fu et al in their work proposed strategies to discover the associations amongst people from emails and Web pages. Relying on these associations, a candidate can acquire extra expertise probability from a reliable expert who has strong relationship with the candidate [60]. Li et al investigated documents' co-authorship as a relation between experts, and they assessed if the probability of being an expert increases if they have co-authored a topic relevant document together with a well-known expert [61].…”

Section: Associationmentioning

confidence: 99%

Investigating the Expertise Indicators of Vulnerability Discovery Professionals

Al-Banna¹,

Benatallah²,

Barukh³

2017

Adv. sci. technol. eng. syst. j.

View full text Add to dashboard Cite

Section: Associationmentioning

confidence: 99%

Investigating the Expertise Indicators of Vulnerability Discovery Professionals

Al-Banna¹,

Benatallah²,

Barukh³

2017

Adv. sci. technol. eng. syst. j.

View full text Add to dashboard Cite

“…Most of them usually studied separately local information of person and relationships, and this information combines different approaches. In the paper [2] is proposed some methods based on several strategies in discovering the associations among people from emails and web pages. Authors introduce algorithm based on the ranked list of candidates according to their probability being of an expert for some topic.…”

Section: Related Workmentioning

confidence: 99%

Detection of head experts in social network

Radvansky

Kudělka

Snášel

2012

2012 Fourth International Conference on Computational Aspects of Social Networks (CASoN)

View full text Add to dashboard Cite

This paper introduces a method for head expert identification in a social network based on local community detection and formal concept analysis. There are several methods for expert identification, but most of these methods try to find an expert for a particular area. In this paper, we propose a novel approach to identify a head expert. This person is in the background and most of the time he is working across different areas of research, and he can establish teams of experts for particular areas.

show abstract

“…These solutions can be potentially used for ranking answers, nding experts, and detecting spam. Fu et al [20] rst selected a subset of top candidates according to their probability of being experts for a certain topic. Then they utilized propagation models on social networks to discover other potential experts.…”

Section: Further Readingmentioning

confidence: 99%

A Survey of Algorithms and Systems for Expert Location in Social Networks

Lappas

Liu

Terzi

2011

Social Network Data Analytics

View full text Add to dashboard Cite

Given a particular task and a set of candidates, one often wants to identify the right expert (or set of experts) that can perform the given task. We call this problem the expert-location problem and we survey its different aspects as they arise in practice. For example, given the activities of candidates within a context (e.g., authoring a document, answering a question), we rst describe methods for evaluating the level of expertise for each of them. Often, experts are organized in networks that correspond to social networks or organizational structures of companies. We next devote part of the chapter for describing algorithms that compute the expertise level of individuals by taking into account their position in such a network. Finally, complex tasks often require the collective expertise of more than one experts. In such cases, it is more realistic to require a team of experts that can collaborate towards a common goal. We describe algorithms that identify effective expert teams within a network of experts. The chapter is a survey of different algorithms for expertise evaluation and team identi cation. We highlight the basic algorithmic problems and give some indicative algorithms that have been developed in the literature. We conclude the chapter by providing a comprehensive overview of real-life systems for expert location.

show abstract

Finding Experts Using Social Network Analysis

Abstract: Searching an organization '

Cited by 37 publications

References 3 publications

Investigating the Expertise Indicators of Vulnerability Discovery Professionals

Investigating the Expertise Indicators of Vulnerability Discovery Professionals

Detection of head experts in social network

A Survey of Algorithms and Systems for Expert Location in Social Networks

Contact Info

Product

Resources

About