کد مقاله کد نشریه سال انتشار مقاله انگلیسی ترجمه فارسی نسخه تمام متن
7538173 1488844 2018 10 صفحه PDF سفارش دهید دانلود رایگان
عنوان انگلیسی مقاله ISI
Patterns of co-membership: Techniques for identifying subgraph composition
ترجمه فارسی عنوان
الگوهای همکاری: روش برای شناسایی ترکیب زیرگراف
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کلمات کلیدی
زیر گروه های انسانی، نظریه تمرکز، تجزیه و تحلیل داده های اکتشافی، هموفیلی، کلایک، شبکه های دوستیابی فیس بوک،
موضوعات مرتبط
مهندسی و علوم پایه ریاضیات آمار و احتمال
چکیده انگلیسی
Different social processes give rise to network structures with distinctive properties. In this paper our goal is to identify the social processes that give rise to distinct network structures (specifically, subgroups). We examine particular structural meta-relations by identifying the properties of individuals associated with specific subgroups. Clues to the process of group formation and the context in which these groups form and persist may be extracted from the properties of individuals in those groups. Following this intuition, we propose a general technique for identifying systematic patterns of attribute occupancy to determine how individual attributes may drive group formation. To connect the social context in which groups form to their structural signatures, we relate subgroup composition to nodal attributes. We illustrate the utility of comparing subgroup (e.g., clique, n-clique, k-core, etc.) co-membership with nodal co-membership in a variety of attributes. The correlations between these two co-membership matrices illustrate clearly the strength of association between shared attributes and shared subgraph membership. Furthermore, examining these correlations across groups of different sizes indicates where these attributes are most strongly associated with group co-membership. Additionally, these correlations fit well into a QAP framework to determine where shared subgraph membership has a stronger (or weaker) relation to shared attribute membership than we would expect by chance. We demonstrate the technique with a series of large, online friendship networks on the order of thousands of nodes to illustrate how factors such as gender, cohort, residence, and other attributes are associated with co-membership across a range of clique sizes.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Social Networks - Volume 55, October 2018, Pages 1-10
نویسندگان
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