Measuring popularity in social network groups

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Abstract-As the number of users of social network sitesincreases, the amount of produced information is also increasingat a very fast rate, concerning various types of sharedcontents like messages, photos, videos and even links, as wellas information related to user interactions. Due to this, itbecomes necessary to help users to better filter and selectthe information that will be more useful to them accordingto their personal interests. Social networking environmentstypically promote the organization of their users according togroups of individuals who are related through their commoncharacteristics, interests, and interactions.In this paper we present an approach for assisting the userin the evaluation of popularity of the information shared inthe context of social networking groups, and we propose amodel for measuring the relevance of a user to a group andthe group relevance for its members, based on the popularityand freshness of the contents posted by the users.We describe an architecture supporting the model implementationin the Facebook social network, and we describea Facebook application that collects information concerningthe user groups, and the users activities within the groups.The application offers a simple interface where users canhave access to some statistic values concerning group-relatedrelevance indicators, for example allowing to observe whichare the users who contribute positively to the group activity,and which are the ones that produce less relevant informationor have less activity in a group. We present experimentalresults of our study, and preliminary conclusions regardingthe observation of the behavior of users and groups.
Original languageUnknown
Title of host publicationSCA
Pages485-492
DOIs
Publication statusPublished - 1 Jan 2012
EventInternational Conference on Social Computing and its Applications -
Duration: 1 Jan 2012 → …

Conference

ConferenceInternational Conference on Social Computing and its Applications
Period1/01/12 → …

Keywords

    Cite this

    @inproceedings{375d80ad58d049ae804decba7c6189e8,
    title = "Measuring popularity in social network groups",
    abstract = "Abstract-As the number of users of social network sitesincreases, the amount of produced information is also increasingat a very fast rate, concerning various types of sharedcontents like messages, photos, videos and even links, as wellas information related to user interactions. Due to this, itbecomes necessary to help users to better filter and selectthe information that will be more useful to them accordingto their personal interests. Social networking environmentstypically promote the organization of their users according togroups of individuals who are related through their commoncharacteristics, interests, and interactions.In this paper we present an approach for assisting the userin the evaluation of popularity of the information shared inthe context of social networking groups, and we propose amodel for measuring the relevance of a user to a group andthe group relevance for its members, based on the popularityand freshness of the contents posted by the users.We describe an architecture supporting the model implementationin the Facebook social network, and we describea Facebook application that collects information concerningthe user groups, and the users activities within the groups.The application offers a simple interface where users canhave access to some statistic values concerning group-relatedrelevance indicators, for example allowing to observe whichare the users who contribute positively to the group activity,and which are the ones that produce less relevant informationor have less activity in a group. We present experimentalresults of our study, and preliminary conclusions regardingthe observation of the behavior of users and groups.",
    keywords = "social networks, Groups, information relevance",
    author = "Morgado, {Carmen Pires} and Cunha, {Jos{\'e} Alberto Cardoso E}",
    note = "Proceedings will be published by IEEE and indexed IEEE xplore. But the conference took place in December 2012.",
    year = "2012",
    month = "1",
    day = "1",
    doi = "10.1109/CGC.2012.85",
    language = "Unknown",
    isbn = "978-0-7695-4864-7",
    pages = "485--492",
    booktitle = "SCA",

    }

    Morgado, CP & Cunha, JACE 2012, Measuring popularity in social network groups. in SCA. pp. 485-492, International Conference on Social Computing and its Applications, 1/01/12. https://doi.org/10.1109/CGC.2012.85

    Measuring popularity in social network groups. / Morgado, Carmen Pires; Cunha, José Alberto Cardoso E.

    SCA. 2012. p. 485-492.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    TY - GEN

    T1 - Measuring popularity in social network groups

    AU - Morgado, Carmen Pires

    AU - Cunha, José Alberto Cardoso E

    N1 - Proceedings will be published by IEEE and indexed IEEE xplore. But the conference took place in December 2012.

    PY - 2012/1/1

    Y1 - 2012/1/1

    N2 - Abstract-As the number of users of social network sitesincreases, the amount of produced information is also increasingat a very fast rate, concerning various types of sharedcontents like messages, photos, videos and even links, as wellas information related to user interactions. Due to this, itbecomes necessary to help users to better filter and selectthe information that will be more useful to them accordingto their personal interests. Social networking environmentstypically promote the organization of their users according togroups of individuals who are related through their commoncharacteristics, interests, and interactions.In this paper we present an approach for assisting the userin the evaluation of popularity of the information shared inthe context of social networking groups, and we propose amodel for measuring the relevance of a user to a group andthe group relevance for its members, based on the popularityand freshness of the contents posted by the users.We describe an architecture supporting the model implementationin the Facebook social network, and we describea Facebook application that collects information concerningthe user groups, and the users activities within the groups.The application offers a simple interface where users canhave access to some statistic values concerning group-relatedrelevance indicators, for example allowing to observe whichare the users who contribute positively to the group activity,and which are the ones that produce less relevant informationor have less activity in a group. We present experimentalresults of our study, and preliminary conclusions regardingthe observation of the behavior of users and groups.

    AB - Abstract-As the number of users of social network sitesincreases, the amount of produced information is also increasingat a very fast rate, concerning various types of sharedcontents like messages, photos, videos and even links, as wellas information related to user interactions. Due to this, itbecomes necessary to help users to better filter and selectthe information that will be more useful to them accordingto their personal interests. Social networking environmentstypically promote the organization of their users according togroups of individuals who are related through their commoncharacteristics, interests, and interactions.In this paper we present an approach for assisting the userin the evaluation of popularity of the information shared inthe context of social networking groups, and we propose amodel for measuring the relevance of a user to a group andthe group relevance for its members, based on the popularityand freshness of the contents posted by the users.We describe an architecture supporting the model implementationin the Facebook social network, and we describea Facebook application that collects information concerningthe user groups, and the users activities within the groups.The application offers a simple interface where users canhave access to some statistic values concerning group-relatedrelevance indicators, for example allowing to observe whichare the users who contribute positively to the group activity,and which are the ones that produce less relevant informationor have less activity in a group. We present experimentalresults of our study, and preliminary conclusions regardingthe observation of the behavior of users and groups.

    KW - social networks

    KW - Groups

    KW - information relevance

    U2 - 10.1109/CGC.2012.85

    DO - 10.1109/CGC.2012.85

    M3 - Conference contribution

    SN - 978-0-7695-4864-7

    SP - 485

    EP - 492

    BT - SCA

    ER -