Node strength dependence on node degree.

<p>Dependence of average member’s strength 〈<i>s</i>〉 on her degree <i>q</i> in social network of significant links for considered groups.</p

Local cohesiveness of social networks of significant links.

<p>Evolution of local cohesiveness of members personal networks, measured by averaged non-weighted 〈<i>c</i>_<i>i</i>〉 and weighted clustering coefficients , with the number of events attended by the member <i>x</i>.</p

Total number of attended events.

<p>Probability distributions <i>P</i>(<i>x</i>) of total number of participations <i>x</i>, for four Meetup groups. Solid line represents best fit to truncated power law distribution, <i>x</i>^−<i>α</i><i>e</i>^−<i>Bx</i>.</p

Summary of collected data for four selected Meetup groups.

<p><i>N</i>_<i>m</i> is total number of group members, <i>N</i>_<i>e</i> is total number of organised events.</p

Importance of event size for the network cohesiveness.

<p>Change of local network cohesiveness with removal of events according to their size (left) and temporal and random order (right). Abbreviations indicate order in which we remove events: <b>b</b>—from the largest to the smallest, <b>s</b>—from the smallest to the largest, <b>f</b>—from the first to the last and <b>r</b>—random.</p

The total number of participations.

<p>The probability distribution of the total number of participations obtained from the empirical data (red circles), simulations (blue circles) and numerical iterative algorithm (green triangles). The full line is the best fit to truncated power law, <i>x</i>^−<i>α</i><i>e</i>^−<i>Bx</i>, while the dashed and dash-dot line denote the best fit to power-law distribution, <i>x</i>^−<i>γ</i> and exponential distribution, <i>e</i>^{−<i>λx</i>}, respectively.</p

The number of successive participations.

<p>The probability distribution of the number of successive participations, <i>x</i>_<i>s</i>, obtained from empirical data (red circles) and numerical simulations of the model (blue circles). The full, dashed and dash-dot line are the best fit to truncated power law, power-law and exponential function respectively.</p

The time lag between the two successive participations.

<p>The probability distribution of the time lags between two consecutive conference participations <i>y</i>_<i>s</i>: empirical data (red circles) and numerical simulations data (blue circles). The lines correspond to respective fits as in Figs <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0148528#pone.0148528.g001" target="_blank">1</a> and <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0148528#pone.0148528.g002" target="_blank">2</a>.</p