@conference {sharara:ase12, title = {Stability vs. Diversity: Understanding the Dynamics of Actors in Time-varying Affiliation Networks}, booktitle = {ICSI}, year = {2012}, chapter = {1--6}, abstract = {

Most networks contain embedded communities or groups that impact the overall gathering and dissemination of ideas and information. These groups consist of important or prominent individuals who actively participate in network activities over time. In this paper, we introduce a new method for identifying actors with prominent group memberships in timevarying affiliation networks. We define a prominent actor to be one who participates in the same group regularly (stable participation) and participates across different groups consistently (diverse participation), thereby having a position of structural influence in the network. Our proposed methods for quantifying stable and diverse participation takes into consideration the underlying semantics for group participation as well as the level of impact of an actor{\textquoteright}s history on his or her current behavior. We illustrate the semantics of our measures on real-world data sets with varying temporal connectivity structures.

}, author = {Sharara Hossam and Singh Lisa and Lise Getoor and Mann Janet} } @conference {sharara:ijcai11, title = {Active Surveying: A Probabilistic Approach for Identifying Key Opinion Leaders}, booktitle = {IJCAI}, year = {2011}, abstract = {

Opinion leaders play an important role in influencingpeople{\textquoteright}s beliefs, actions and behaviors. Althougha number of methods have been proposedfor identifying influentials using secondary sourcesof information, the use of primary sources, suchas surveys, is still favored in many domains. Inthis work we present a new surveying methodwhich combines secondary data with partial knowledgefrom primary sources to guide the informationgathering process. We apply our proposed activesurveying method to the problem of identifying keyopinion leaders in the medical field, and show howwe are able to accurately identify the opinion leaderswhile minimizing the amount of primary datarequired, which results in significant cost reductionin data acquisition without sacrificing its integrity.

}, author = {Sharara Hossam and Lise Getoor and Norton Myra} }