Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: b-based communities have become important places for people to seek and share expertise.  find that networks in these communities typically differ in their topology from other online networks such as the World Wide b. Systems targeted to augment b-based communities by automatically identifying users with expertise, for example, need to adapt to the underlying interaction dynamics. In this study,  analyze the Java Forum, a large online help-seeking community, using social network analysis methods.  test a set of network-based ranking algorithms, including PageRank and HITS, on this large size social network in order to identify users with high expertise.  then use simulations to identify a small number of simple simulation rules governing the question-ansr dynamic in the network. These simple rules not only replicate the structural characteristics and algorithm performance on the empirically observed Java Forum, but also allow us to evaluate how other algorithms may perform in communities with different characteristics.  believe this approach will be fruitful for practical algorithm design and implementation for online expertise-sharing communities.
['Jun Zhang', 'Mark S. Ackerman', 'Lada A. Adamic']
I am writing a research paper on a idea Expertise networks in online communities: structure and algorithms
[{"from": "human", "value": "I am writing a research paper on a idea Expertise networks in online communities: structure and algorithms"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: b-based communities have become important places for people to seek and share expertise.  find that networks in these communities typically differ in their topology from other online networks such as the World Wide b. Systems targeted to augment b-based communities by automatically identifying users with expertise, for example, need to adapt to the underlying interaction dynamics. In this study,  analyze the Java Forum, a large online help-seeking community, using social network analysis methods.  test a set of network-based ranking algorithms, including PageRank and HITS, on this large size social network in order to identify users with high expertise.  then use simulations to identify a small number of simple simulation rules governing the question-ansr dynamic in the network. These simple rules not only replicate the structural characteristics and algorithm performance on the empirically observed Java Forum, but also allow us to evaluate how other algorithms may perform in communities with different characteristics.  believe this approach will be fruitful for practical algorithm design and implementation for online expertise-sharing communities."}]