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1 How to Improve Group Homogeneity in Online Social Networks
Citations
811 | Community detection in graphs
- Fortunato
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Citation Context ...group might be considered (i) as a set of nodes (i.e., users) more densely connected among each other than to the others (i.e., the group formation is viewed as a graph clustering problem [13], [14], =-=[20]-=-); or, (ii) as a community of P. De Meo is with the Dept. of Ancient and Modern Civilizations, University of Messina, 98166 Messina, Italy, e-mail: pdemeo@unime.it E. Ferrara is with the Center for Co... |
213 | The spread of behavior in an online social network experiment,”
- Centola
- 2010
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Citation Context ...users [27]. However, if we assume that homogeneity should reflect users satisfaction, we argue that other behavioral characteristics of members and groups should be considered as important components =-=[8]-=-. For example, in virtual communities, users are often characterized by multiple interests, and groups enact common rules, define accepted behaviors, exhibit a manifold of communication styles and imp... |
165 | A familiar face(book): Profile elements as signals in an online social network
- Lampe, Ellison, et al.
- 2007
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Citation Context ...nowledge, no study considers the evolution of a group as a problem of matching between users and groups profiles. Although the concept of social profile is known in the context of virtual communities =-=[25]-=-, that of group profile is rather novel. The definition of such concept is useful to face the problem of suggesting a user the groups she could affiliate to, so that to improve her satisfaction. Commo... |
95 | An economic model of friendship: Homophily, minorities and segregation.
- Currarini, Jackson, et al.
- 2009
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Citation Context ... domenico.rosaci@unirc.it G.M.L. Sarné is with the Dept. DICEAM, University of Reggio Calabria, Loc. Feo di Vito, 89122 Reggio Calabria, Italy, e-mail: sarne@unirc.it people sharing similar interests =-=[12]-=- (i.e., the group formation accounts for some definition of users similarity). Satisfaction, on the other hand, is often related to the notion of group homogeneity: when the similarity/inter-connectiv... |
80 |
Evaluating similarity measures: a large-scale study in the orkut social network
- Spertus, Sahami, et al.
- 2005
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Citation Context ...n recommendation in [39]). This differs from the group recommendation problem where the objects to recommend are items whereas the affiliation recommendation problem deals with groups. Spertus et al. =-=[38]-=- presented a proposal that describes an empirical comparison of six distinct measures for computing the similarity of a user and a community to exploit for communities recommendation. Chen et al. [9] ... |
66 |
User profiles for personalized information access,‖
- Gauch, Speretta, et al.
- 2007
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Citation Context ...tent [5], [18], [26], with significant social effects [10], [11], [19], [30]. In this context, a relevant role is played by social groups, that are sub-networks of users sharing common interests [4], =-=[21]-=-, [28], [29], [37]. Recent studies investigated the relationships between users and groups in OSNs [2], [23], [24]. For example, Hui et al. [23] considered four popular OSNs and empirically computed t... |
41 |
Social selection and peer influence in an online social network.
- Lewis, Gonzalez, et al.
- 2012
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Citation Context ...ty/inter-connectivity among group participants is high, according to both structural and semantic dimensions, a OSN group is regards as homogeneous and this yields better satisfaction among its users =-=[27]-=-. However, if we assume that homogeneity should reflect users satisfaction, we argue that other behavioral characteristics of members and groups should be considered as important components [8]. For e... |
39 | Group recommendation: Semantics and efficiency
- Amer-Yahia, Roy, et al.
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Citation Context ...d by this paper, illustrating the main novelties brought in by our approach. In the latest years, an increasing number of authors focused on the problem of recommending items to the member of a group =-=[1]-=-, [22]. This implies the need to construct a group profile, often by simply aggregating the individual orientations of its members. This task is usually called group modelling. More formally, let U, I... |
36 | Group recommendations with rank aggregation and collaborative filtering
- Baltrunas, Makcinskas, et al.
- 2010
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Citation Context ... to the average of the ratings the member of G have given to ik. If none of the users in G has rated in ik, then fG(ik) is set equal to ⊥ (this symbol specifying a not rated item)); (ii) Least Misery =-=[3]-=-, where the rating that group G would assign to ik is defined as fG(ik) = min r(ui, ik) if ∃ui ∈ U : r(ui, ik) = ⊥ and ⊥ otherwise. In the Average strategy the score of an item ik depends on how many... |
33 |
Dynamical classes of collective attention in twitter.
- Lehmann, Gonçalves, et al.
- 2012
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Citation Context ...Group Homogeneity. I. INTRODUCTION Online Social Networks (OSNs) such as Facebook, Google+ and Twitter have become very complex realities [6], [7], significantly grown in scale and content [5], [18], =-=[26]-=-, with significant social effects [10], [11], [19], [30]. In this context, a relevant role is played by social groups, that are sub-networks of users sharing common interests [4], [21], [28], [29], [3... |
27 | Combinational collaborative filtering for personalized community recommendation.
- Chen, Zhang, et al.
- 2008
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Citation Context ...[38] presented a proposal that describes an empirical comparison of six distinct measures for computing the similarity of a user and a community to exploit for communities recommendation. Chen et al. =-=[9]-=- provide an algorithm called CCF (Combinational Collaborative Filtering) which is able to suggest users new friendship relationships as well as the communities they could join with. CCF considers a co... |
24 | Crawling facebook for social network analysis purposes
- Catanese, Meo, et al.
- 2011
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Citation Context ...-agent systems, Online Social Networks, Group Recommendation, Group Homogeneity. I. INTRODUCTION Online Social Networks (OSNs) such as Facebook, Google+ and Twitter have become very complex realities =-=[6]-=-, [7], significantly grown in scale and content [5], [18], [26], with significant social effects [10], [11], [19], [30]. In this context, a relevant role is played by social groups, that are sub-netwo... |
19 |
A large-scale community structure analysis in facebook
- Ferrara
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Citation Context ...tion, Group Homogeneity. I. INTRODUCTION Online Social Networks (OSNs) such as Facebook, Google+ and Twitter have become very complex realities [6], [7], significantly grown in scale and content [5], =-=[18]-=-, [26], with significant social effects [10], [11], [19], [30]. In this context, a relevant role is played by social groups, that are sub-networks of users sharing common interests [4], [21], [28], [2... |
15 | The Digital Evolution of Occupy Wall Street.
- Conover, Ferrara, et al.
- 2013
(Show Context)
Citation Context ...cial Networks (OSNs) such as Facebook, Google+ and Twitter have become very complex realities [6], [7], significantly grown in scale and content [5], [18], [26], with significant social effects [10], =-=[11]-=-, [19], [30]. In this context, a relevant role is played by social groups, that are sub-networks of users sharing common interests [4], [21], [28], [29], [37]. Recent studies investigated the relation... |
15 |
Finding reliable users and social networks in a social internetworking system
- Meo, Nocera, et al.
- 2009
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Citation Context .... This definition of group profile is coherent with the definition of a user profile containing information comparable with those of a group profile. • Each OSN group is associated with a group agent =-=[15]-=-– [17], capable of creating, managing and updating the group profile defined above. Similarly, a user agent is associated with each OSN user. • We present a distributed agent platform to handle group ... |
14 | Scalable affiliation recommendation using auxiliary networks,”
- Vasuki, Natarajan, et al.
- 2011
(Show Context)
Citation Context ...aling with the matching of a user and a group profile. Most of this work has been designed to recommend to an OSN user groups to join with (such a problem is also called affiliation recommendation in =-=[39]-=-). This differs from the group recommendation problem where the objects to recommend are items whereas the affiliation recommendation problem deals with groups. Spertus et al. [38] presented a proposa... |
10 | Probabilistic group recommendation via information iatching,”
- Gorla, Lathia, et al.
- 2013
(Show Context)
Citation Context ...this paper, illustrating the main novelties brought in by our approach. In the latest years, an increasing number of authors focused on the problem of recommending items to the member of a group [1], =-=[22]-=-. This implies the need to construct a group profile, often by simply aggregating the individual orientations of its members. This task is usually called group modelling. More formally, let U, I and G... |
10 | Quantitative evaluation of clustering results using computational negative controls
- Pearson, Zylkin, et al.
- 2004
(Show Context)
Citation Context ...vs epochs obtained with the GHMcomp and GHM-diff algorithms, for a SN with 30.000 users and 100 groups. To measure the internal homogeneity of a group g we use the average homogeneity AHg, derived by =-=[33]-=-, computed as ∑ x,y∈g,x=y hx,y/|g|, while to measure the global homogeneity of the OSN groups we compute the mean average homogeneity MAH and the standard deviation average homogeneity DAH of all the... |
9 |
Social media and elections.
- Metaxas, Mustafaraj
- 2012
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Citation Context ...s (OSNs) such as Facebook, Google+ and Twitter have become very complex realities [6], [7], significantly grown in scale and content [5], [18], [26], with significant social effects [10], [11], [19], =-=[30]-=-. In this context, a relevant role is played by social groups, that are sub-networks of users sharing common interests [4], [21], [28], [29], [37]. Recent studies investigated the relationships betwee... |
8 | Topological features of online social networks." arXiv preprint arXiv:1202.0331.DOI=10.1685/journal.caim.381
- Ferrara, Fiumara
- 2012
(Show Context)
Citation Context ...mendation, Group Homogeneity. I. INTRODUCTION Online Social Networks (OSNs) such as Facebook, Google+ and Twitter have become very complex realities [6], [7], significantly grown in scale and content =-=[5]-=-, [18], [26], with significant social effects [10], [11], [19], [30]. In this context, a relevant role is played by social groups, that are sub-networks of users sharing common interests [4], [21], [2... |
7 |
The geospatial characteristics of a social movement communication network
- MD, Davis, et al.
- 2013
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Citation Context ...ine Social Networks (OSNs) such as Facebook, Google+ and Twitter have become very complex realities [6], [7], significantly grown in scale and content [5], [18], [26], with significant social effects =-=[10]-=-, [11], [19], [30]. In this context, a relevant role is played by social groups, that are sub-networks of users sharing common interests [4], [21], [28], [29], [37]. Recent studies investigated the re... |
7 | Traveling trends: social butterflies or frequent fliers
- Ferrara, Varol, et al.
- 2013
(Show Context)
Citation Context ...etworks (OSNs) such as Facebook, Google+ and Twitter have become very complex realities [6], [7], significantly grown in scale and content [5], [18], [26], with significant social effects [10], [11], =-=[19]-=-, [30]. In this context, a relevant role is played by social groups, that are sub-networks of users sharing common interests [4], [21], [28], [29], [37]. Recent studies investigated the relationships ... |
7 | Groupthink and peer pressure: Social influence in online social network groups
- Hui, Buchegger
- 2009
(Show Context)
Citation Context ...le is played by social groups, that are sub-networks of users sharing common interests [4], [21], [28], [29], [37]. Recent studies investigated the relationships between users and groups in OSNs [2], =-=[23]-=-, [24]. For example, Hui et al. [23] considered four popular OSNs and empirically computed the probability that a user joins a group; the problem of choosing which group to join has been studied in [2... |
6 | A.: Extraction and analysis of facebook friendship relations
- Catanese, Meo, et al.
- 2012
(Show Context)
Citation Context ...t systems, Online Social Networks, Group Recommendation, Group Homogeneity. I. INTRODUCTION Online Social Networks (OSNs) such as Facebook, Google+ and Twitter have become very complex realities [6], =-=[7]-=-, significantly grown in scale and content [5], [18], [26], with significant social effects [10], [11], [19], [30]. In this context, a relevant role is played by social groups, that are sub-networks o... |
6 |
A group recommendation system for online communities
- Kim, Kim, et al.
(Show Context)
Citation Context ...played by social groups, that are sub-networks of users sharing common interests [4], [21], [28], [29], [37]. Recent studies investigated the relationships between users and groups in OSNs [2], [23], =-=[24]-=-. For example, Hui et al. [23] considered four popular OSNs and empirically computed the probability that a user joins a group; the problem of choosing which group to join has been studied in [2] for ... |
5 |
Group Recommendation System for Facebook
- Baatarjav, Phithakkitnukoon, et al.
- 2008
(Show Context)
Citation Context ...nt role is played by social groups, that are sub-networks of users sharing common interests [4], [21], [28], [29], [37]. Recent studies investigated the relationships between users and groups in OSNs =-=[2]-=-, [23], [24]. For example, Hui et al. [23] considered four popular OSNs and empirically computed the probability that a user joins a group; the problem of choosing which group to join has been studied... |
5 | Enhancing community detection using a network weighting strategy
- Meo, Ferrara, et al.
(Show Context)
Citation Context ...Commonly, a group might be considered (i) as a set of nodes (i.e., users) more densely connected among each other than to the others (i.e., the group formation is viewed as a graph clustering problem =-=[13]-=-, [14], [20]); or, (ii) as a community of P. De Meo is with the Dept. of Ancient and Modern Civilizations, University of Messina, 98166 Messina, Italy, e-mail: pdemeo@unime.it E. Ferrara is with the C... |
5 |
Mixing local and global information for community detection in large networks.
- Meo, Ferrara, et al.
- 2014
(Show Context)
Citation Context ...ly, a group might be considered (i) as a set of nodes (i.e., users) more densely connected among each other than to the others (i.e., the group formation is viewed as a graph clustering problem [13], =-=[14]-=-, [20]); or, (ii) as a community of P. De Meo is with the Dept. of Ancient and Modern Civilizations, University of Messina, 98166 Messina, Italy, e-mail: pdemeo@unime.it E. Ferrara is with the Center ... |
4 |
Modeling cooperation in multi-agent communities
- Buccafurri, Rosaci, et al.
- 2004
(Show Context)
Citation Context ...d content [5], [18], [26], with significant social effects [10], [11], [19], [30]. In this context, a relevant role is played by social groups, that are sub-networks of users sharing common interests =-=[4]-=-, [21], [28], [29], [37]. Recent studies investigated the relationships between users and groups in OSNs [2], [23], [24]. For example, Hui et al. [23] considered four popular OSNs and empirically comp... |
4 | D.: Recommendation of reliable users, social networks and high-quality resources in a social internetworking system - Meo, Nocera, et al. - 2011 |
4 |
A Multi-tiered Recommender System Architecture for Supporting ECommerce
- Palopoli, Rosaci, et al.
- 2013
(Show Context)
Citation Context ...of creating, managing and updating the group profile defined above. Similarly, a user agent is associated with each OSN user. • We present a distributed agent platform to handle group formation [31], =-=[32]-=-, [34]–[36]. The agents automatically and dynamically compute a matching between user and group profiles in a distributed fashion. We provide the user agent with a matching algorithm, named Group Homo... |
3 |
G.M.L.: Recommending Multimedia Web Services in a MultiDevice Environment,
- Rosaci, Sarnè
- 2013
(Show Context)
Citation Context ..., managing and updating the group profile defined above. Similarly, a user agent is associated with each OSN user. • We present a distributed agent platform to handle group formation [31], [32], [34]–=-=[36]-=-. The agents automatically and dynamically compute a matching between user and group profiles in a distributed fashion. We provide the user agent with a matching algorithm, named Group Homogeneity Max... |
2 |
A distributed agent-based approach for supporting group formation in p2p e-learning,”
- Messina, Pappalardo, et al.
- 2013
(Show Context)
Citation Context ...5], [18], [26], with significant social effects [10], [11], [19], [30]. In this context, a relevant role is played by social groups, that are sub-networks of users sharing common interests [4], [21], =-=[28]-=-, [29], [37]. Recent studies investigated the relationships between users and groups in OSNs [2], [23], [24]. For example, Hui et al. [23] considered four popular OSNs and empirically computed the pro... |
2 |
Hyson: A distributed agent-based protocol for group formation in online social networks,” in Multiagent System Technologies.
- Messina, Pappalardo, et al.
- 2013
(Show Context)
Citation Context ...8], [26], with significant social effects [10], [11], [19], [30]. In this context, a relevant role is played by social groups, that are sub-networks of users sharing common interests [4], [21], [28], =-=[29]-=-, [37]. Recent studies investigated the relationships between users and groups in OSNs [2], [23], [24]. For example, Hui et al. [23] considered four popular OSNs and empirically computed the probabili... |
2 |
Efficient Personalization of e-Learning Activities Using a Multi-Device Decentralized Recommender System
- Rosaci, Sarné
- 2010
(Show Context)
Citation Context ...ating, managing and updating the group profile defined above. Similarly, a user agent is associated with each OSN user. • We present a distributed agent platform to handle group formation [31], [32], =-=[34]-=-–[36]. The agents automatically and dynamically compute a matching between user and group profiles in a distributed fashion. We provide the user agent with a matching algorithm, named Group Homogeneit... |
2 | A Multi-Agent Recommender System for Supporting Device Adaptivity in e-Commerce - Rosaci, Sarné - 2012 |
2 |
Matching users with groups in social networks,”
- Rosaci, Sarne
- 2013
(Show Context)
Citation Context ...6], with significant social effects [10], [11], [19], [30]. In this context, a relevant role is played by social groups, that are sub-networks of users sharing common interests [4], [21], [28], [29], =-=[37]-=-. Recent studies investigated the relationships between users and groups in OSNs [2], [23], [24]. For example, Hui et al. [23] considered four popular OSNs and empirically computed the probability tha... |
1 | Dependable recommendations in social internetworking
- Meo, Quattrone, et al.
- 2009
(Show Context)
Citation Context ... definition of group profile is coherent with the definition of a user profile containing information comparable with those of a group profile. • Each OSN group is associated with a group agent [15]– =-=[17]-=-, capable of creating, managing and updating the group profile defined above. Similarly, a user agent is associated with each OSN user. • We present a distributed agent platform to handle group format... |
1 |
Introducing Specialization in e-Commerce Recommender Systems
- Palopoli, Rosaci, et al.
(Show Context)
Citation Context ...pable of creating, managing and updating the group profile defined above. Similarly, a user agent is associated with each OSN user. • We present a distributed agent platform to handle group formation =-=[31]-=-, [32], [34]–[36]. The agents automatically and dynamically compute a matching between user and group profiles in a distributed fashion. We provide the user agent with a matching algorithm, named Grou... |