Social network data consists of a collection of "nodes" (which can be any sort of entity - e.g. people, corporations) and "links" (which can be any sort of relationship - e.g. friend, sharing a board member).

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216 views

Numbers too large for R. How to approximate probability mass function?

Social network data is frequently found in a two-mode form: people vs. events they attend, people vs. classes they attend, countries vs. treaties they sign, etc. A strategy for analyzing this data is ...
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1answer
16 views

Why might UCINET and R return different results for a QAP Logistic Regression (on the same data)?

I'm trying to run a QAP logistic regression to predict the odds of a tie in a social network (represented as a binary adjacency matrix) given two independent variables (also binary matrices) but am ...
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0answers
10 views

MRQAP in multiple samples (Social Network Analysis)

I have a set of samples, each depicting a (full) social network of coworkers. The questionnaire, which was used to gather the data, was exactly the same for all the samples; just the respondents and ...
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1answer
27 views

Centrality Measures for a directed multigraph

I have a directed multigraph that is used to represent an online discussion forum, where each actor is able to contribute comments to a discussion and have their comments commented on by other actors. ...
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0answers
11 views

Community detection in mobile social network

Can anyone guide me regarding any good survey papers and implementations of recently published papers on community detection in mobile social network. I am willing to implement any existing algorithm ...
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2answers
24 views

GLMM for SNA and non-independency data

I contact you because my case is particular and I don’t know much about GLMM. I have data of social networks (network metrics) of a nonhuman primate species. These data are by nature non independent ...
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0answers
48 views

Predicting the Success of a tweet

I want to predict the success of a tweet. In my case a tweet is successful when the sum of the number of favorites and the number of retweets is greater than 5. So my outcome value y is: y= ...
0
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1answer
30 views

Possible problem for Network Analysis

I have a data set and I want to examine an hypothesis in there and probably Network Analysis should prove or reject my theory. I have a list of products and a group of people who give the product to ...
0
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1answer
32 views

Choosing the best set of keywords

I have a dataset of tweets collected using twitter streaming API on a particular topic (say 'football') using around 40 keywords. Now if I'm going to track the same topic (football) in future how do I ...
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0answers
14 views

how to study a panel dataset using network theory?

I have a panel dataset with variables individual and time and I would like to study it from a network perspective. That is, to ...
0
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0answers
17 views

Asymptotic Property of the Likelihood surface

I have a questions which I am not quite sure how to frame, so I apologies if it does not make sense, but I will try my best to make it interpretable. I have been running some network models in R, ...
3
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0answers
65 views

Facebook users similarities

I'm searching for a similarity metric such that given two Facebook users it returns a value that reflects how similar the two users are. The similarity metrics must take into account (at the same ...
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0answers
37 views

What is a proper scale to do the social network analysis?

Problem My problem is to profile the individual user (i.e. mine individual user's interest, location, and many more). What we have as input are the network structure (e.g. linked-in network) ...
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84 views

Network graph: hypothesis test that degree distribution is becoming more equitable

I'm playing around with network graphs and am wondering how to show that there is: a statistically significant difference in in-degree distribution between nodes for 2 time periods the in-degree ...
1
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1answer
55 views

k-core clustering algorithm

I am trying to cluster data. Each point in this dataset is connected to some other points. I want to define clusters "depending on how much the points are connected to each other". After some ...
0
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1answer
67 views

lhs Unit Eigenvectors in Python for DeGroot model Convergence for Social Networking problems

The influence array at time 0 is: 1/3, 1/3 1/3 1/2, 1/2, 0 0, 0.25, 0.75 It is suppose to converge to the array: ...
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0answers
27 views

The best estimate of age of a person in social network

Suppose that we have any social network (i.e. we know who is a friend of whom) and for some nodes in the network (i.e. the users), we also know their age (but not for everyone, as in a real network). ...
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0answers
81 views

Calculating Eigenvector Centrality and DeGroot belief propagation in Social Networks

I am trying to gain a more in-depth understanding of eigenvector centrality and Degroot Model belief updating, given each agent weights all of its neighbors equally (and does not weight itself) Since ...
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1answer
43 views

Expected assortativity coefficient of random graphs

I am wondering whether there exist a closed-form expression for the expected assortativity coefficient (http://arxiv.org/pdf/cond-mat/0205405.pdf) of an Erdos Ranyi random graph model $G(n,m)$, where ...
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0answers
37 views

Comparing groups of different sizes in social network analysis

I've got social network data for three groups of chimpanzees and I'm looking to do some basic analysis across and between groups. Does anyone by any chance know how to compare social network data ...
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0answers
35 views

Social network analysis group comparisons

I've got SNA data for three groups of chimpanzees and I'm looking to do some basic analysis across and between groups. Does anyone by any chance know how to compare social network data between groups ...
110
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8answers
26k views

Is Facebook coming to an end?

Recently, this paper has received a lot of attention (e.g. from WSJ). Basically, the authors conclude that Facebook will lose 80% of its members by 2017. They base their claims on an extrapolation ...
4
votes
1answer
120 views

A statistical model for a sample of independent networks

Based on the lack of responses to my previous network question, perhaps this is not quite the place to ask this question, but I'll give it a try. I am planning a series of studies that involve small ...
3
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1answer
268 views

Centralization measures in weighted graphs

I'm using the igraph package in R to analyze network data. I'm currently trying to calculate some centrality measures for the ...
5
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0answers
57 views

Time series for network matrices?

Let's say I have two people. Each of whom I create a network matrix for daily for some of their daily habits $(i.e. A, B, C, D)$. I do this for, let's say $60$ days. I didn't bother to change the ...
3
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1answer
90 views

Community finding algorithms in large heterogeneous networks

Consider a network that consists of vertices with various meanings. For example: stack overflow users, keywords and user location when asking/answering a question. In this network, when a user asks a ...
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1answer
62 views

How do you find weight of edges between individuals based on co-participation in the same groups? (SNA)

I have a data set with 20,000 discussion forum threads, many only one or two posts, some up to 400-posts. I have 5,000 individuals who participated in these threads. I want to calculate the strength ...
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2answers
57 views

Dimensionality reduction to summarise user activity

I'm analysing some user activity data for a social networking website. For each user, I have indicators of activity such as: number of visited pages number of comments number of shares number of ...
5
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1answer
124 views

Visualising relationship data

I have data about a certain workforce, with different worker types W1, W2, W3, W4, etc. I need a method to visualise the relationship between each worker type. In particular, I'm interested in ...
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1answer
80 views

How can generalized estimating equation be applied to analyze network data?

I'm using the analytical strategy of Christakis and Fowler to study the spread of behaviors in social networks. Page 566 of this article reviews their method in more details: ...
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0answers
57 views

social network simulation

I need Geo-location based social network dataset . But I could not find any source where I can find the dataset. I need the post with location and the information of re sharing of that information ...
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1answer
119 views

Software for working with exponential random graphs

I am looking for software packages for working with exponential random graph models (fitting/generating them and sampling from the graph distributions). I have only found two packages so far, both ...
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0answers
42 views

How to cluster temporal trajectories of various social network statistics

I have social network data for 100 open source repositories. The data consists of 12 snapshots (1 for every month of a year) of the networks for several repositories. Out of this I want to extract ...
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0answers
135 views

How to model a network analysis problem

I have a weighted graph in which the nodes represent users and weighted undirected edges represent the tie between a pairs of users. For a piece of content $c$, and a node $A$ in the graph, given that ...
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0answers
53 views

Assessing the consistency of an estimator of the average path length of a large network

I have found the following in a network-science article and would like clarification of what the authors are claiming: We observe that the root mean square of the difference between the empirical ...
8
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1answer
371 views

Data mining techniques in Obama's campaign

I came across this article about the data mining team in Obama's reelection campaign. Unfortunately, the article is very fuzzy about the actual machinery of the statistical algorithms. However, it ...
4
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2answers
77 views

Estimating demographics from internet activity

I'm looking for research papers on estimating demographic information (age, wealth, location, gender etc.) out of internet activities (preferably social network activity or browser history). Where ...
3
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1answer
134 views

Finding “weak ties” in network data

So I am working on a new project looking at formal and informal networks between businesses in the same industry. Namely, I am looking at joint ventures, fractional acquisitions, minority share ...
3
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1answer
79 views

Distinguishing statistical (global) and network (local) effects

I am analyzing how users of specific service affect each other by observing communication between them and changes in membership plans. The social network consists of 3M users and 40M connections ...