The Experts below are selected from a list of 21 Experts worldwide ranked by ideXlab platform

Keith Gallagher - One of the best experts on this subject based on the ideXlab platform.

  • Overlapping Community Detection via Merged Friendship-Groups
    2020
    Co-Authors: Bradley S. Rees, Keith Gallagher
    Abstract:

    Abstract —There has been considerable interest in identifying communities within large collections of social networking data. Existing algorithms will classify an actor (node) into a single group, ignoring the fact that in real-world situations people tend to belong concurrently to multiple (overlapping) groups. Our work focuses on the ability to find overlapping communities. We use egonets to Form Friendship-groups. A Friendship-group is a localized community as seen from an individual's perspective that allows an actor to belong to multiple communities. Our algorithm finds overlapping communities and identifies key members that bind communities together. Additionally, we will highlight the parallel feature of the algorithm as a means of improving runtime perFormance, and the ability of the algorithm to run within a database and not be constrained by system memory. Keywords-component; Network clustering, community detection, social networks, egonets, complex networks

  • The Influence of Technology on Social Network Analysis and Mining - EgoClustering: Overlapping Community Detection via Merged Friendship-Groups
    Social Network Analysis and Mining, 2012
    Co-Authors: Bradley S. Rees, Keith Gallagher
    Abstract:

    There has been considerable interest in identifying communities within large collections of social networking data. Existing algorithms will classify an actor (node) into a single group, ignoring the fact that in real-world situations people tend to belong concurrently to multiple (overlapping) groups. Our work focuses on the ability to find overlapping communities. We use egonets to Form Friendship-groups. A Friendship-group is a localized community as seen from an individual’s perspective that allows an actor to belong to multiple communities. Our algorithm finds overlapping communities and identifies key members that bind communities together. Additionally, we will highlight the parallel feature of the algorithm as a means of improving runtime perFormance, and the ability of the algorithm to run within a database and not be constrained by system memory.

Bradley S. Rees - One of the best experts on this subject based on the ideXlab platform.

  • Overlapping Community Detection via Merged Friendship-Groups
    2020
    Co-Authors: Bradley S. Rees, Keith Gallagher
    Abstract:

    Abstract —There has been considerable interest in identifying communities within large collections of social networking data. Existing algorithms will classify an actor (node) into a single group, ignoring the fact that in real-world situations people tend to belong concurrently to multiple (overlapping) groups. Our work focuses on the ability to find overlapping communities. We use egonets to Form Friendship-groups. A Friendship-group is a localized community as seen from an individual's perspective that allows an actor to belong to multiple communities. Our algorithm finds overlapping communities and identifies key members that bind communities together. Additionally, we will highlight the parallel feature of the algorithm as a means of improving runtime perFormance, and the ability of the algorithm to run within a database and not be constrained by system memory. Keywords-component; Network clustering, community detection, social networks, egonets, complex networks

  • The Influence of Technology on Social Network Analysis and Mining - EgoClustering: Overlapping Community Detection via Merged Friendship-Groups
    Social Network Analysis and Mining, 2012
    Co-Authors: Bradley S. Rees, Keith Gallagher
    Abstract:

    There has been considerable interest in identifying communities within large collections of social networking data. Existing algorithms will classify an actor (node) into a single group, ignoring the fact that in real-world situations people tend to belong concurrently to multiple (overlapping) groups. Our work focuses on the ability to find overlapping communities. We use egonets to Form Friendship-groups. A Friendship-group is a localized community as seen from an individual’s perspective that allows an actor to belong to multiple communities. Our algorithm finds overlapping communities and identifies key members that bind communities together. Additionally, we will highlight the parallel feature of the algorithm as a means of improving runtime perFormance, and the ability of the algorithm to run within a database and not be constrained by system memory.

Kyriakos Demetriou - One of the best experts on this subject based on the ideXlab platform.

Fritzie Ryland - One of the best experts on this subject based on the ideXlab platform.

  • Friendship relations of Southeast Asian immigrant children in Norway
    2020
    Co-Authors: Fritzie Ryland
    Abstract:

    The main focus and aim of this master thesis is to write about the nature of Friendship and experiences of the Southeast Asian immigrant children in Norway. The overall methodological perspective of this study is based on the philosophy of the new social studies of childhood where children are constructed as social actors, listening to their voices, seeing them as active agents in their daily lives who are able to choose their friends and Form Friendship in their new country. I conducted semi-structured interview and observation with my participants and inFormal discussion with the parents. I interviewed eight children from ages 8 to 14 years old.In the analysis chapter I discussed about my participant’s idea of Friendship or the meaning of the concept for them, I also talked about the activities they do together to nurture the Friendship. I wrote down some quotations from my participants to illustrate their own words on the matter. I also discuss ways my participants Formed Friendship with the other children, and in doing so, it became evident to me that my younger participants Form Friendship with other children differently than my older participants. I further discuss the differences of Friendship relations of my participants across different age groups, factors how they view Friendships. I also discussed my participant’s Friendship at home, in school and their neighborhood and their parent’s earlier influence on Friendship Formation. I also talked about my participant’s groups, their experiences of conflicts and disputes with friends. I also talked about gendered Friendship because it is an important area to help us understand the nature of children’s Friendship.I conclude my research with the results that among the challenges my participants experienced as an immigrant, learning the language spoken in the country where they live is the most important aspect to enable the children to Form Friendship with other children. My research also documented that my participants are competent children capable of adapting to a new society by learning the language, making new friends and nurture Friendship. This thesis therefore confirm the new social studies of childhood where children are social actors who are active agents in their daily lives able to choose their friends and Form Friendship in their new country.

Claire Cornock - One of the best experts on this subject based on the ideXlab platform.

  • Development of a Course Community
    MSOR connections, 2017
    Co-Authors: Claire Cornock
    Abstract:

    There are feelings of belonging amongst those involved with the mathematics course at Sheffield Hallam University. A number of factors contribute to this, including the use of year tutors, a peer assisted learning scheme, a shared working space, a Maths Arcade, an induction week programme, a final year de-stress day, and other social events. In addition to communication with peers in their own year group, interactions with staff and students in other year groups are encouraged. The students are given opportunities to Form Friendship groups, which has a large impact on their university experience. The desire from staff to work alongside students and support activities has resulted in students feeling part of a community.