Understanding Interaction Search Behavior in Professional Social Networks
نویسندگان
چکیده
منابع مشابه
Understanding Influence in Online Professional Networks
Social networks have become part and parcel of our lives. With social networks, users have access to tremendous amount of information that influence many aspects of their lives such as daily activities, habits, and decisions. Recently, there has been a growing interest in understanding influence in social networks. Previous work in this area characterize influence as propagation of actions in t...
متن کاملSearch Using Social Networks
In this thesis, we present an approach to the problem of personalized web search which makes use of the searcher's social network, in addition to the hyper-link based score used in most search engines. This combination of social and absolute search scores aims to improve the visibility of information that is relevant to the searcher, while maintaining any absolute measures of document importanc...
متن کاملStructure learning in Bayesian networks and session analysis of people search within a professional social network
We study the problem of learning Bayesian network structures from data. Koivisto and Sood (2004) and Koivisto (2006) presented algorithms that can compute the exact posterior probability of a subnetwork, e.g., a single edge, in O(n2n) time and the posterior probabilities for all n(n − 1) potential edges in O(n2n) total time, assuming that the in-degree, i.e., the number of parents per node, is ...
متن کاملUnderstanding Protein-protein Interaction Networks
All living organisms consist of living cells and share basic cellular mechanisms. Amazingly, all those cells, whether from a bacterium or a human being, although different in their structure and complexity, comprise the same building blocks of macro molecules: DNA, RNA, and proteins. Proteins play major roles in all cellular processes: they create signaling cascades, regulate almost every proce...
متن کاملUnderstanding Annotations in Protein Interaction Networks
In this chapter, we discuss the use of differential association rules to study the annotations of proteins in one or more interaction networks. Using this technique, we find the differences in the annotations of interacting proteins in a network. We extend the concept to compare annotations of interacting proteins across different definitions of interaction networks. Both cases reveal instances...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Human Technology: An Interdisciplinary Journal on Humans in ICT Environments
سال: 2011
ISSN: 1795-6889
DOI: 10.17011/ht/urn.2011112211712